How is Test Data used?
Zippia reviewed thousands of resumes to understand how test data is used in different jobs. Explore the list of common job responsibilities related to test data below:
- Build and troubleshoot various test setups for environmental testing; conduct, gather and analyze test data for presentation to customers.
- Worked in setup of test case design, test data setup, Test execution, defect logging and tracking to closure.
- Prepared Test Data setup Utilities using automation tool QTP with Data driven frame work for Batch run without any manual intervention.
- Instructed offshore teams in the proper setup and use of the product and proper test data collection.
- Used SQL queries to perform database level validation and for retrieval of test data.
- Updated appropriate test data in accordance with the test scenarios and expected results.
Are Test Data skills in demand?
Yes, test data skills are in demand today. Currently, 7,220 job openings list test data skills as a requirement. The job descriptions that most frequently include test data skills are associate tester, structural test engineer, and senior systems analyst lead.
How hard is it to learn Test Data?
Based on the average complexity level of the jobs that use test data the most: associate tester, structural test engineer, and senior systems analyst lead. The complexity level of these jobs is challenging.
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What jobs can you get with Test Data skills?
You can get a job as a associate tester, structural test engineer, and senior systems analyst lead with test data skills. After analyzing resumes and job postings, we identified these as the most common job titles for candidates with test data skills.
Associate Tester
Job description:
An associate tester is in charge of performing quality assurance tests on materials, ensuring the quality adheres to the company's standards and regulations. In the information technology industry, it is their duty to develop software test structures, maintain records of all results, gather and analyze data, review documents, troubleshoot issues, and prepare comprehensive reports according to the company's protocols. Furthermore, an associate tester must maintain an active communication line with teams, coordinating for a smooth and efficient workflow.
- Test Results
- Test Data
- Java
- Test Procedures
- Jira
- QA
Structural Test Engineer
- CAD
- Aerospace
- Test Data
- CATIA
- Data Acquisition Systems
- Test Procedures
Senior Systems Analyst Lead
- SQL Server
- Test Data
- Web Application
- Java
- Business Processes
- C++
Associate Programmer/Analyst
Job description:
Associate programmers/analysts aid the programmer in the analysis and design of information systems and application programs for the organization. They are specialists who assist in the development of new business models to generate profits with cost-control methods by conducting research and investigation to aid the senior staff in the decision-making. They serve as an asset to the company and helps senior developers in building a comprehensive software system. They possess strong verbal and written communication and multitasking skills and the ability to create effective support documentation with a strong background in various programming languages and protocols.
- Java
- Data Analysis
- JavaScript
- Test Data
- HTML
- Debugging
Propulsion Engineer
Job description:
A Propulsion Engineer is responsible for inspecting the condition and stability of rocket engines and control systems within the aerospace industry. They create engine systems by utilizing various software applications and tools for construction. They also identify cost-reduction materials and techniques by negotiating contracts and agreements with trusted suppliers and vendors. A Propulsion Engineer must have excellent technical and mechanical skills to resolve engine issues and conduct preventive maintenance to prevent operational delays and potential hazards.
- Propulsion System
- CAD
- MATLAB
- Test Data
- NASA
- CFD
Manufacturing Test Technician
- Test Equipment
- RF
- Hand Tools
- Test Data
- Lean Manufacturing
- Test Procedures
Electronic Test Technician
Job description:
An Electronics Test Technician is responsible for testing and troubleshooting electronic equipment, components, and parts. As an Electronics Test Technician, you will investigate issues related to process control, SCADA systems, and instrumentation and suggest effective solutions. You will be responsible for analyzing and repairing broken printed circuit boards (PCB) and creating documentation for the testing of PCB assemblies. Other duties include compiling product reports and presenting these to the company heads, ensuring to maintain testing equipment, and performing multipoint safety inspections of products.
- RF
- Oscilloscopes
- Test Procedures
- Test Data
- Hand Tools
- Test Results
Senior Test Development Engineer
- C++
- RF
- Test Equipment
- Software Development
- Test Data
- Test Development
Assembler/Tester
Job description:
Assemblers or testers assemble or test complex products to attain prompt delivery schedules and customer quality. They work on products containing electronic, dual, and mechanical hydraulic systems. Their job is to operate and maintain power and hand tools, test equipment, and manufacturing machines. It is their responsibility to produce high-quality products that exceed or meet the approval agency, customer, and engineering requirements. They also interpret engineering orders, test specifications, assembly routes, and blueprints.
- Safety Rules
- Hand Tools
- Test Equipment
- Test Results
- Test Data
- Quality Standards
Performance Tester
Job description:
A performance tester is an industrial worker who identifies the stability, scalability, speed, and responsiveness of non-functional software in a given workload. The performance testers make sure that an application's critical components are performing well. They assess resource usage and other quality attributes, preparing it for production. Among the skills necessary to land this job are analytical, attention to detail, communication, and critical thinking.
- Test Results
- Java
- Web Services
- JMeter
- Test Data
- Test Plan
Test Technician
Job description:
A test technician is responsible for running multiple diagnostic tests on various tools and equipment to boost optimization and ensure its efficient performance on operations. Test technicians inspect system components and manage calibration, following clients' specifications or the business' needs. A test technician also analyzes the system's design processes and features to understand its complexities and identify necessary upgrades. Test technicians keep a record of system issues and resolutions for reference. A test technician must have excellent knowledge of the technical and mechanical industry to perform tasks and achieve the highest customer satisfaction.
- Test Procedures
- Test Results
- Hand Tools
- Test Data
- RF
- Engineering Drawings
Product Assurance Engineer
- Lean Manufacturing
- Product Assurance
- ISO
- Dvp R
- Test Data
- Test Procedures
Test Specialist
Job description:
A test specialist is responsible for evaluating and running diagnostic tests for system networks and applications to ensure stability and efficiency according to the quality standards. Test specialists analyze the system's features and write findings reports for improvement and technical resolutions. They also help system engineers in developing infrastructures and designing servers to support business operations and maximize productivity. A test specialist must have excellent communication and organizational skills, especially in identifying malfunctions and inconsistencies before the actual launch of deliverables.
- Test Results
- Test Cases
- Java
- Test Data
- Test Scripts
- Regression
Technical Testing Engineer
Job description:
A technical testing engineer is responsible for inspecting and reporting the quality of products across the production cycle. You will thoroughly check procedures, materials, and electrical and mechanical systems to produce high-quality products for customers. Your main job is to test various components and features of the product to identify and resolve technical issues. Other duties include organizing and conducting training for junior team members, creating test environments, and identifying the root cause of technical issues.
- Test Results
- Schematics
- Test Procedures
- Test Data
- Test Fixtures
- RF
Senior Test Analyst
Job description:
A senior test analyst conducts tests and analyzes test results with the aim of ensuring their clients' requirements. They support information technology activities, including coordinating with the information technology team. They run test estimation models, create reports on the data they gather, and teach others to employ said data.
- Java
- Jira
- Regression
- QA
- Test Data
- Manual Test Cases
Software Analyst
Job description:
A software analyst is responsible for creating and designing software programs and applications, as well as modifying existing ones for optimization according to business requirements. Software analysts work with the technical team to draw system codes, analyze programming languages, and ensure the stability and efficiency of software navigation by running multiple quality checks to the system. They inspect the application's performance, configure servers, and improve software infrastructure according to quality findings. A software analyst records resolution reports and provides progress updates, ensuring that the project adheres to budget limitations and set timetables.
- Java
- C++
- Software Development
- Troubleshoot
- Test Data
- Scrum
How much can you earn with Test Data skills?
You can earn up to $74,863 a year with test data skills if you become a associate tester, the highest-paying job that requires test data skills. Structural test engineers can earn the second-highest salary among jobs that use Python, $86,757 a year.
| Job title | Average salary | Hourly rate |
|---|---|---|
| Associate Tester | $74,863 | $36 |
| Structural Test Engineer | $86,757 | $42 |
| Senior Systems Analyst Lead | $100,628 | $48 |
| Test Engine Evaluator | $85,143 | $41 |
| Associate Programmer/Analyst | $77,424 | $37 |
Companies using Test Data in 2025
The top companies that look for employees with test data skills are CTG, The Travelers Companies, and U.S. Department of the Treasury. In the millions of job postings we reviewed, these companies mention test data skills most frequently.
| Rank | Company | % of all skills | Job openings |
|---|---|---|---|
| 1 | CTG | 17% | 423 |
| 2 | The Travelers Companies | 12% | 2,015 |
| 3 | U.S. Department of the Treasury | 9% | 8 |
| 4 | Guidehouse | 9% | 3,265 |
| 5 | Ford Motor | 7% | 2,815 |
Departments using Test Data
| Department | Average salary |
|---|---|
| Engineering | $88,097 |
| IT | $83,844 |
15 courses for Test Data skills
1. AI Workflow: Data Analysis and Hypothesis Testing
This is the second course in the IBM AI Enterprise Workflow Certification specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones. In this course you will begin your work for a hypothetical streaming media company by doing exploratory data analysis (EDA). Best practices for data visualization, handling missing data, and hypothesis testing will be introduced to you as part of your work. You will learn techniques of estimation with probability distributions and extending these estimates to apply null hypothesis significance tests. You will apply what you learn through two hands on case studies: data visualization and multiple testing using a simple pipeline. By the end of this course you should be able to: 1. List several best practices concerning EDA and data visualization 2. Create a simple dashboard in Watson Studio 3. Describe strategies for dealing with missing data 4. Explain the difference between imputation and multiple imputation 5. Employ common distributions to answer questions about event probabilities 6. Explain the investigative role of hypothesis testing in EDA 7. Apply several methods for dealing with multiple testing Who should take this course? This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises. If you are an aspiring Data Scientist, this course is NOT for you as you need real world expertise to benefit from the content of these courses. What skills should you have? It is assumed that you have completed Course 1 of the IBM AI Enterprise Workflow specialization and have a solid understanding of the following topics prior to starting this course: Fundamental understanding of Linear Algebra; Understand sampling, probability theory, and probability distributions; Knowledge of descriptive and inferential statistical concepts; General understanding of machine learning techniques and best practices; Practiced understanding of Python and the packages commonly used in data science: NumPy, Pandas, matplotlib, scikit-learn; Familiarity with IBM Watson Studio; Familiarity with the design thinking process...
2. Data Warehouse ETL Testing & Data Quality Management A-Z
Learn the essentials of ETL Data Warehouse Testing and Data Quality Management through this step-by-step tutorial. This course takes you through the basics of ETL testing, frequently used Data Quality queries, reporting and monitoring. In this tutorial we will learn how to build database views for Data Quality monitoring and build Data Quality visualizations and reports!.. Learn to build data quality dashboards from scratch!.. Learn some of the most common mistakes made when performing ETL/ELT tests.... Forget about manual ad-hoc ETL testing, learn more about automated ETL and data quality reportsThe course contains training materials, where you can practice, apply your knowledge and build an app from scratch. The training materials are provided in an Excel file that you can download to your computer. Each module also ends with a short quiz and there is a final quiz at the end of the course. After completion of this course, you will receive a certificate of completion. Good luck and hope you enjoy the course. Pre-requisites: Basic knowledge of SQL Some experience with Visualization tools would be helpful, but not required Basic setup of database (PostgreSQL, Oracle) and visualization tool (Qliksense) is recommendedCourse content: The course consists of the following modules: IntroductionWhat is ETL/ELT Testing and Data Quality Management?Build database views for Data Quality MonitoringBuild dashboards for ReportingExercisesFinal QuizWho should follow this course?Students that want to learn the basics of ETL/ELT testing and Data Quality ManagementBusiness Analysts and Data Analysts that would like to learn more about ETL/ELT testing, frequently used queries and practical examplesSoftware Engineers that would like to build an automated solution for ETL/ELT testing using database views/dashboardsData Stewards and Managers considering to apply data quality standards within their organization...
3. Statistical Inference and Hypothesis Testing in Data Science Applications
This course will focus on theory and implementation of hypothesis testing, especially as it relates to applications in data science. Students will learn to use hypothesis tests to make informed decisions from data. Special attention will be given to the general logic of hypothesis testing, error and error rates, power, simulation, and the correct computation and interpretation of p-values. Attention will also be given to the misuse of testing concepts, especially p-values, and the ethical implications of such misuse. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder...
4. Google Cloud Professional Data Engineer Practice Tests
Take these 2 50-question practice tests that span the full scope of the Google Cloud Professional Data Engineer Certification exam to prepare yourself for one of Google Cloud's top certifications. What can a data engineer certification do for you? The need for data engineers is constantly growing and certified data engineers are some of the top paid certified professionals. Data engineers have a wide range of skills including the ability to design systems to ingest large volumes of data, store data cost-effectively, and efficiently process and analyze data with tools ranging from reporting and visualization to machine learning. Earning a Google Cloud Professional Data Engineer certification demonstrates you have the knowledge and skills to build, tune, and monitor high-performance data engineering systems. These exams are designed and developed by the author of the official Google Cloud Professional Data Engineer exam guide and a data architect with over 20 years of experience in databases, data architecture, and machine learning. These exams will test how well you understand how to ingest data, creating data processing pipelines, work with both relational and NoSQL databases, design highly performant Bigtable, BigQuery, and Cloud Spanner databases, query Firestore databases, and create a Spark and Hadoop cluster using Cloud Dataproc and more. You will also be tested on how to map business requirements to technical solutions, especially around problems in compliance and security...
5. Google Cloud Professional Data Engineer Practice Tests 2023
Get certified in first attempt # 100% Pass Rate, Exam simulation. GCP: Google Cloud Professional Data Engineer latest 2023 edition , 420 distinct Q & A with detailed explanations, Reference to official GCP documentation. Note:- Exam format: Multiple choice and multiple select taken remotely or in person at a test center.6 Full Sets of Practice Exam - with 70 Questions each sets. All questions are unique and important with Explanations for understanding the questions the, 100% scenario-based and conform to the latest Google Cloud Professional Data Engineer exam blueprint. Each practice questions very- very important for the exam and has the same format, style, time limit and passing score as the real Google Cloud Data Engineer Certification exam. All questions are unique and important with Explanations for understanding the questions the, 100% scenario-based and conform to the latest Google Cloud Professional Data Engineer exam blueprint. The course is designed for anyone wanting to pass the exam in their first attempt. These tests are as difficult as the real one. You can definitely expect some questions from these tests. Many students got some questions from these tests. You can expect them in the real exam. Once you complete these tests, you will feel confident to take the real exam and pass the exam in first attempt. Every question is important to pass the exam and has a clear explanation for each question. After completing these tests, you will know exactly you are ready to pass the exam, saving you time and money. After practicing these tests and scoring an 75% or higher on them, you will be ready to PASS your certification on the first attempt and avoid costly re-scheduling fees. After each practice exam attempt, you will receive your total final score, along with feedback on each and every question - telling you exactly why each answer is correct so that you can pinpoint the areas in which you need to improve and perform some additional studying. This practice exam course is designed from official exam guide. #GCP...
6. Big Data Testing: 150+ Interview Questions and Answers
This course is for Testing profile candidate who wanted to build there career into Big Data Testing. So I have designed this course so they can start giving interview for big data testing. All the users who are working or looking for Job in QA profile or wanted to move into big data testing domain should take this course and go through the complete tutorials. I have included the material which is needed for big data testing profile and it has all the necessary contents which includes practical examples as well depends on questions and there practicality. It will give the detailed information for different topics interview questions like big data hadoop, hive, Hbase, Cassandra, Unix, Shell, Pig, Manual and automation along with Agile which is needed by the tester to move into bigger umbrella i. e. Big Data Testing. This course is well structured with all elements of different questions in practical manner separated by different topics. Students should take this course who wanted to move into big data testing to advance their career...
7. Tableau Desktop Specialist /Data Analyst Practice Tests 2023
Are you ready to take the Tableau Desktop Specialist Certification or Tableau Certified Data Analyst Exam ?This is the perfect course for you to give preparation series of 6 practice tests (one easy, one moderate, three difficult and one bonus) With Detailed Answer Explanations to understand your preparation levels. More than 800 Student Reviews: Students have passed the exam with a score of over 90% in 2023- check the student reviews for yourself! The sample tests were very much helpful for the final exam. I was able to pass the exam in first attempt with 92%. Great course!! All these questions really helped me for preparing the exam. I cleared Desktop Specialist exam with 85% in first attempt. Some of the questions were really tricky. These practice exams really helped me to refresh all the tableau fundamentals in depth before the exam. Thanks Aruna for making such a quality content. Thanks Aruna.:) I cracked my Tableau Desktop Specialist exam. Your course was very helpful. The format of these exercises is very similar to the actual exam. I was able to score 90% yesterday thanks to this course. I recommend completing this course before taking the exam. The practice tests really helped me. Be sure to do all of them and practice them a few times for speed. Many of the questions and data sets used were very similar to the exam I took. I passed today!! Yay! Thank you very much for creating the course. Yesterday I completed the Tableau Desktop Specialist certification. I got 4 to 5 questions from Paper 3 and 4. I cleared the exam:)Good Exams. Good Explanations. Helped me clear the Certification exam. Recommended. Thanks. I took practice test a day before exam. it really helped me. I got 83%. one key thing i learned is you can use google while doing exam. Practice tests and most questions were very similar to the format of the real thing. Overall though, if you can speed through all the practices and score well about 80%, you're guaranteed set for the real exam. I just took mine and passed with a 97%. I would highly recommend this course to all the Tableau Certification aspirants. This course really helped me to achieve the title of 'Tableau Desktop Specialist'. Great way to prepare for the cert exam. The course has proved very helpful to set the pace of your exam preparation. Great job Aruna and team! Features:177 QUESTIONS - Varying difficult levels to give you a real feel of exam. Focus has been given on multiple choice, multi-answer and hands-on questions similar to the actual exam. VERSION - Latest Tableau Version used for explanations is TABLEAU 2020.2 versionFREE EXAM TIPS GUIDE - Announcements shared regularly on weekly basis for you to crack the exam. PREPARATION GUIDE - A Self Preparation Guide providing references to all the knowledge areas for preparation. WEEKLY ASSIGNMENTS - Weekly assignments shared with new questions apart from the mock tests. MONEY-BACK GUARANTEE - Unconditional 30-day money-back guaranteeCOURSE UPDATES - Course content is regularly updated. Latest version update date is Dec 21, 2021. UNLIMITED EXAM ATTEMPTS - Exams can be retaken any number of times. MOBILE ACCESS - Study on the go and access all resources from your mobileEXPLANATIONS AND REFERENCES - Detailed explanations for correct and incorrect answers with images, and supporting references/Knowledge areas to understand the concepts behind. This helps to understand whole concept rather than just that question. INSTRUCTOR SUPPORT - Responsive instructor support for any questions, concerns or suggestions. WEEKLY UPDATES - Based on student feedback. LIFETIME ACCESS - You will have lifetime access to the resources and we update the course regularly to ensure that its up to date. Who this course is for: Students preparing for the Tableau Desktop Specialist examAnyone who is keen to learn Tableau through the questions and answers, explanations, knowledge areas and reference links. Students have trusted us and enrolled from 66 countries with 18 languages across the globe. Enroll now to fast-track your preparation for Tableau Desktop Specialist Certification!...
8. DP-900: Microsoft Azure Data Fundamentals Practice Tests
Candidates for this exam should have foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services. This exam is intended for candidates beginning to work with data in the cloud. Candidates should be familiar with the concepts of relational and non-relational data, and different types of data workloads such as transactional or analytical. Azure Data Fundamentals can be used to prepare for other Azure role-based certifications like Azure Database Administrator Associate or Azure Data Engineer Associate, but it's not a prerequisite for any of them. Skills MeasuredDescribe core data concepts (15-20%)Describe types of core data workloads · describe batch data · describe streaming data · describe the difference between batch and streaming data · describe the characteristics of relational data Describe data analytics core concepts · describe data visualization (e. g., visualization, reporting, business intelligence · describe basic chart types such as bar charts and pie charts · describe analytics techniques (e. g., descriptive, diagnostic, predictive, prescriptive, cognitive) · describe ELT and ETL processing · describe the concepts of data processingDescribe how to work with relational data on Azure (25-30%)Describe relational data workloads · identify the right data offering for a relational workload · describe relational data structures (e. g., tables, index, views) Describe relational Azure data services · describe and compare PaaS, IaaS, and SaaS delivery models · describe Azure SQL Database · describe Azure Synapse Analytics · describe SQL Server on Azure Virtual Machine · describe Azure Database for PostgreSQL, Azure Database for MariaDB, and Azure Database for MySQL · describe Azure SQL Managed Instance Identify basic management tasks for relational data · describe provisioning and deployment of relational data services · describe method for deployment including ARM templates and Azure Portal · identify data security components (e. g., firewall, authentication) · identify basic connectivity issues (e. g., accessing from on-premises, access with Azure VNets, access from Internet, authentication, firewalls) · identify query tools (e. g., Azure Data Studio, SQL Server Management Studio, sqlcmd utility, etc.) Describe query techniques for data using SQL language · compare DDL versus DML · query relational data in PostgreSQL, MySQL, and Azure SQL DatabaseDescribe how to work with non-relational data on Azure (25-30%)Describe non-relational data workloads · describe the characteristics of non-relational data · describe the types of non-relational and NoSQL data · recommend the correct data store · determine when to use non-relational data Describe non-relational data offerings on Azure · identify Azure data services for non-relational workloads · describe Azure Cosmos DB APIs · describe Azure Table storage · describe Azure Blob storage · describe Azure File storage Identify basic management tasks for non-relational data · describe provisioning and deployment of non-relational data services · describe method for deployment including ARM templates and Azure Portal · identify data security components (e. g., firewall, authentication) · identify basic connectivity issues (e. g., accessing from on-premises, access with Azure VNets, access from Internet, authentication, firewalls) · identify management tools for non-relational dataDescribe an analytics workload on Azure (25-30%)Describe analytics workloads · describe transactional workloads · describe the difference between a transactional and an analytics workload · describe the difference between batch and real time · describe data warehousing workloads · determine when a data warehouse solution is needed Describe the components of a modern data warehouse · describe Azure data services for modern data warehousing such as Azure Data Lake, Azure Synapse Analytics, Azure Databricks, and Azure HDInsight · describe modern data warehousing architecture and workload Describe data ingestion and processing on Azure · describe common practices for data loading · describe the components of Azure Data Factory (e. g., pipeline, activities, etc.) · describe data processing options (e. g., HDI, Azure Databricks, Azure Synapse Analytics, Azure Data Factory) Describe data visualization in Microsoft Power BI · describe the role of paginated reporting · describe the role of interactive reports · describe the role of dashboards · describe the workflow in Power BI...
9. Mock Test Series to Ace the Tableau Data Analyst Exam
Welcome to the Tableau Certified Data Analyst Exam practice test course. This course will help you to test your knowledge and prepare you for the actual exam. With our practice tests, you will get the much-required confidence to pass the actual exam. These are very high-quality questions that were designed from actual exam experiences. We focus much on quality, we are certain that you would learn a lot and enjoy these mock tests. Please check the student reviews for this course, they enrolled in only this course to ace the certificationSome of the reviews are: Passed the exam! Thanks for the wonderful series! got nearly 10 questions from this series.. He replies to all our questions in hours. Well knowledged in Tableau.. Thanks a lotOMG I just passed the exam with a 91%!!!! This sets of practice tests are really really similar to the real exam and I even got several identical questions in the real exam. This practice exam is THE best without any doubt!!!!!! Thank you so much Vivek!!!!!!!!! This mock test is the best shortcut to pass tableau desktop certified associate exam! I worked out each mock test twice and got 92% in the actual test. Thanks a lot, Vivek! This is the best mock test course one could appear before the actual exams. I used many other mock tests but Vivek's questions are almost similar to the exam. If you are appearing for Tableau CA exam, this is a MUST. Thanks a lot. Definitely a worth. Then I bought mock tests. Got 80% to 88% in mock tests, then 85% in first attempt in real test. Plus, several questions were the same and, most important, some of those i get wrong in mock test and learnt why. If you want to ACE the TD Associate Certificate, BUY these mock tests. Thanks Vivek! I just finished taking the Certified Associate Exam and passed with 89%. This Mock Test package is absolutely fantastic and a real representation of the actual exam. 100% recommend this to anyone planning to take the exam. Thank you so much Vivek!(+) Challenging questions (+) Clear and concise answers (+) excellent training for the examThanks Vivek for creating the amazing set of questions. Today, I cleared my associate certification. I got exact 4-5 questions from the Mock test 1. Also, got the same datasets. Again thank you. I completed your course Learn Tableau & Ace the Certified Associate, I liked that course a lot. Now, this test series is the cherry on the cake. Let me know if you launch any more data science courses, love your teaching style and skills. Thanks................. and many many more!!! So guys please enroll and check it yourself!!! All the best!!! Course Features: Latest practice questionsYou will find the latest and unique questions across all mock tests. Mimics the official exam formatOur tests are similar to the official exam in terms of the exam format as well as the questions asked. Thorough explanation to each questionEach question has a detailed explanation as to why an answer is correct. Detailed steps to solve the hands-on questions along with screenshots. Also, for the theoretical questions, we have included the links to the official Tableau documentation so that you can read more about the concepts. Datasets for the Mock TestsWe have created our hands-on questions on top of the most used data source files in the actual Tableau Certified Data Analyst exam. Full instructor supportWe respond to and resolve all user queries/questions quickly...
10. DP-900 Microsoft Azure Data Fundamentals Practice Tests 2023
Preparing for Microsoft Azure Data Fundamentals - DP-900? This is the practice exams course to give you the winning edge. The tone and tenor of the questions mimic the real exam. Along with the detailed description and "keywords" provided within the explanations, I have also extensively referenced Microsoft documentation to get you up to speed on all domain areas being tested for the DP-900 exam. I want you to think of this course as the final pit-stop so that you can cross the winning line with absolute confidence and get DP-900 Certified! Trust my process, you are in good hands. All questions have been written with detailed explanation, diagrams and reference links! And more questions are being added over time! About DP-900 examThis exam is an opportunity to demonstrate knowledge of core data concepts and related Microsoft Azure data services. Candidates for this exam should have familiarity with Exam DP-900's self-paced or instructor-led learning material. This exam is intended for candidates beginning to work with data in the cloud. Candidates should be familiar with the concepts of relational and non-relational data, and different types of data workloads such as transactional or analytical. DP-900 certification exam has four categories: Describe core data concepts (25-30%)Identify considerations for relational data on Azure (20-25%)Describe considerations for working with non-relational data on Azure (15-20%)Describe an analytics workload on Azure (25-30%)Know about the examIn main exam, you may get 35-50 questionsExam duration is 60 minutesQuestion types are single select, multiple select, Yes/No, Drag and Drop and True/False. You will require to score 700 points out from 1000 (My target for you to score 95% and more)The Good part is, there is no negative marking for wrong answers. InstructorMy name is Aman Goswami, I am passionate about Cloud Computing, and I will be your instructor in this course. I am a technology lover and cloud educator. I am a Post Graduate in Computer Science, and working as a professor in leading IT college, majorly focused on Cloud Education and enablement (Azure and AWS Cloud). Welcome to the best practice exams to help you prepare for your Microsoft Azure Data Fundamentals - DP-900 exam. You can retake the exams as many times as you wantThis is a huge original question bankYou get support from instructors if you have questionsEach question has a detailed explanation for correct and incorrect options, along with Microsoft learn link. Mobile-compatible with the Udemy app30-days money-back guarantee if you're not satisfiedHappy learning and best of luck for your Microsoft Azure Data Fundamentals - DP-900 exam!...
11. PL-300 Microsoft Power BI Data Analyst Practice Test
The ONLY mock test you'll need to study for, pass, and earn the certification of Microsoft Certified: Power BI Data Analyst Associate! PL-300 Practice Test for Microsoft Power BI Certification - Exam questions that have been carefully chosen to help you succeed on your first attempt. 240 different questions. More questions will be added soonThese practice questions are ideal if you intend to take the PL-300 Exam and want to see what kinds of questions will be on the Microsoft Power BI Data Analyst (PL-300) - Real Exam. Want to assess your Microsoft Power BI Data Analyst (PL-300) exam preparation so you can feel more confident about passing your certification exam? Then you should use these top collections of practice tests! Candidates who want to advance their careers in IT are primarily addressed by the Microsoft Power BI Data Analyst (PL-300) certification. The PL-300 is the best place to start your career because it can get you your first employment and put you on the road to success. For all the applicants who intend to take the PL-300 exam soon, I have created this practice test course. Microsoft certifications give you a competitive edge in the workplace by demonstrating your mastery of digital and cloud businesses through internationally recognized and industry-endorsed proof. You will practice for the Microsoft Power BI Data Analyst (PL-300) exam in this exercise. In order to make sure you are adequately prepared for certification success, you will test your knowledge in a series of practice tests that are mapped to all the key subjects covered in the PL-300 exam. Microsoft Power BI Data Analyst (PL-300) Certification Exams skill questions: Skills measured on Microsoft PL-300 Exam· Prepare the data (25-30%)· Model the data (25-30%)· Visualize and analyze the data (25-30%)· Deploy and maintain assets (15-20%)Please don't hesitate to reach out to me if you have any questions and I hope to see you soon:)Happy Learning!!...
12. Practice Tests DP-500: Azure Enterprise Data Analyst Exam
These are FULL-LENGTH tests that have been carefully built to help you crack the DP-500 - UPDATED September 2023. Are you looking to start your career with Azure Enterprise Data Analyst? Do you want that great job, but there is just one thing in the way, the DP-500? You have come to the right place. This practice test is the most efficient way to quickly ace the DP-500: Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI with a great score. There are thousands of current openings for Data Analyst users, developers, and administrators, with many of the positions paying upwards of 100,000 USD. By working through this course, you'll quickly gain the skills you need to accelerate your career and pass the Power BI DP-500 certification. Learn how to manage data repositories and data processing in the cloud and on-premises, along with using Power Query and Data Analysis Expressions (DAX) also learn consuming data from Azure Synapse Analytics and should have experience querying relational databases, analyzing data by using Transact-SQL (T-SQL), and visualizing data. Skills measuredImplement and manage a data analytics environment (25-30%)Query and transform data (20-25%)Implement and manage data models (25-30%)Explore and visualize data (20-25%)This exam measures your ability to accomplish the following technical tasks: implement and manage a data analytics environment; query and transform data; implement and manage data models; and explore and visualize data. Passing score: 700...
13. Learn Big Data Testing with Hadoop and Hive with Pig Script
This course is for Big Data testing with Hadoop tool. The target audience for this tutorial is who all are willing to learn big data testing and wanted to make his/her career into big data testing. I have included the material that is needed for big data testing profile. All the users who is working in testing profile and wanted to move into big data testing should take this course and go through the complete tutorials...
14. Exam PL-300 Practice Tests Microsoft Power BI Data Analyst
Exam PL-300 Practice Tests (Microsoft Power BI Data Analyst)6 MCQs based Quiz! Total 380+ MCQsThere are tens of thousands of current openings for Power BI users, developers and administrators, with many of the positions paying upwards of 100,000 USD. By working through this course, you'll quickly gain the skills you need to accelerate your career and pass the Power BI PL-300 certification. Learn to connect to files and databases, edit a data model, profile, clean and and transform data, create interactive reports and dashboards, publish to the Power BI service, and modify security settings. You'll get familiar with the entire data analysis lifecycle. Skills measuredPrepare the data (15-20%)Model the data (30-35%)Visualize and analyze the data (25-30%)Deploy and maintain assets (20-25%)Power BI data analysts design and build scalable data models, clean and transform data, and enable advanced analytic capabilities that provide meaningful business value. For example: Remember-level questions test whether you can recall memorized facts, & basic concepts. Understand-level questions validate whether you can explain the meanings of terms, & concepts. Application-level questions test whether you can perform tasks using facts, concepts, & techniques, and, Analysis-level questions validate whether you can diagnose situations & solve problems with concepts & techniques. A mixture of questions at different levels reinforces your knowledge and prepares you to ace the exam. These are the exam domains covered in the practice test: Prepare the data (15-20%)Model the data (30-35%)Visualize and analyze the data (25-30%)Deploy and maintain assets (20-25%)WHY YOU SHOULD BUY THIS COURSE?a. 300+ deeply researched questions. b. There are no 'What is the...', 'Which is the. type of one-line questions. Each question is based on your understanding of a scenario. The questions challenge you to understand, apply, and analyze your knowledge. IMPORTANT NOTEThese PL-300 Microsoft Power BI Practice Exams have a passing score of 70%, but I highly encourage you to repeat taking these exams until you consistently reach a 90% or higher score on each exam...
15. PL-300 Microsoft Power BI Data Analyst Practice Test w/ labs
. WHY YOU SHOULD BUY MY PL-300 COURSE?a. 130+ deeply researched questions for PL 300. I create no more than three questions/day to maintain high-quality. b. There are no simple one-liner questions. Each question is based on your understanding of a scenario. The questions challenge you to understand, apply, and analyze your knowledge. c. I simulate the actual PL300 Microsoft exam experience for you in the form of drag-and-drop questions, dropdown questions, multiple yes/no questions with a radio button, repeated scenario questions, etc. d. Clear and lucid explanations for both correct & incorrect answers. e. Where required, each question comes with an attached PBIX file that you can download to verify your answers. f. Supporting visuals created by me to drive better understanding (Not taken from Microsoft documentation)g. Explanations run parallel to the product. Every detailed explanation has corroborating evidence with the Microsoft product (like Power BI Desktop or PBI service) shown in screenshots and clear callouts. h. Explanations are NOT directly copied from Microsoft documentation. I have rephrased all the reasoning in a simple and easy-to-understand language. i. No step-motherly treatment of incorrect answer choices. I took enough effort to explain the rationale for each answer choice (whether correct/wrong), including the reference links. j. Don't worry about inaccurate sentence framing/wrong grammar/incorrect punctuations. I use Grammarly to review every question. k. Almost non-existent repetition of questions only to increase the question count. l. For some questions, you may have to search for answers in the given reference link. A Quick Preview feature shows a screenshot of the relevant paragraph to which the correct answer refers. m. I love to help you succeed. If you need to discuss, we have an Active Q & A dashboard and expect fast responses (save for my sleeping hours, which are generally less). n. As soon as there is an update from Microsoft, I try to update my course, keeping it always fresh. o. The question bank is peer-reviewed every three months to ensure exam relevance. p. Still not convinced? Check out sample questions on my YouTube channel/website before you decide to buy. Feel free to connect with me through my website for any issues/questions. The questions are collected from a variety of domains and sub-domains with extra care taken to equal attention to each exam area. Also, the questions are on different levels. For example: Remember-level questions test whether you can recall memorized facts, & basic concepts. Understand-level questions validate whether you can explain the meanings of terms, & concepts. Application-level questions test whether you can perform tasks using facts, concepts, & techniques, and, Analysis-level questions validate whether you can diagnose situations & solve problems with concepts & techniques. A mixture of questions at different levels reinforces your knowledge and prepares you to ace the exam. These are the exam domains covered in the PL-300 practice test: Prepare the data (15-20%)Model the data (30-35%)Visualize and analyze the data (25-30%)Deploy and maintain assets (20-25%)Course updates: v2 - June 2023Added PBIX Files for all the questionsUpdated 21 questionsv1.4 - November 2022Updated 4 questionsv1.3 - August 2022Removed 15 questions (Combined question sets into a single question based on feedback)Added 20 questionsv1.2 - March 2022Added a case studyAdded 6 questionsv1.1 - February 2022Updated 3 questions...