Data Engineer Exam Prep

Data Engineer Exam Prep

Databricks・Spark・Analyst

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Released
July 1, 2026
Updated
November 11, 2026

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Study on your phone. Continue on desktop. Continuing study on the web applies to the existing Google Cloud Professional Data Engineer practice track. Added exams are studied in the iOS app. Access and progress remain separate for each exam. Includes 2520 practice questions across 5 exams. The total combines the study-language counts stated for each exam below. 1. Google Cloud Professional Data Engineer practice 500 practice questions · 110 key terms 5 areas: Designing data processing systems · Ingesting and processing the data · Storing the data · Preparing and using data for analysis · Maintaining and automating data workloads Languages: English, Japanese, Korean. Counts: English. 2. Databricks Certified Data Engineer Professional 500 practice questions · 160 key terms 10 areas: Developing Code for Data Processing using Python and SQL · Data Ingestion & Acquisition · Data Transformation, Cleansing, and Quality · Data Sharing and Federation · Monitoring and Alerting · Cost & Performance Optimization · Ensuring Data Security and Compliance · Data Governance · Debugging and Deploying · Data Modeling Languages: English, Korean, Japanese. Counts: English. 3. Databricks Certified Data Engineer Associate 520 practice questions · 110 key terms 7 areas: Databricks Intelligence Platform · Data Ingestion and Loading · Data Transformation and Modeling · Working with Lakeflow Jobs · Implementing CI/CD · Troubleshooting, Monitoring, and Optimization · Governance and Security Languages: English, Korean, Japanese. Counts: English. 4. Databricks Certified Associate Developer for Apache Spark 500 practice questions · 130 key terms 7 areas: Apache Spark Architecture and Components · Using Spark SQL · Developing Apache Spark DataFrame/DataSet API Applications · Troubleshooting and Tuning Apache Spark DataFrame API Applications · Structured Streaming · Using Spark Connect to deploy applications · Using Pandas API on Apache Spark Languages: English. 5. Databricks Certified Data Analyst Associate 500 practice questions · 146 key terms 9 areas: Understanding of Databricks Data Intelligence Platform · Managing Data · Importing Data · Executing queries using Databricks SQL and Databricks SQL Warehouses · Analyzing Queries · Creating Dashboards and Visualizations in Databricks · Developing, Sharing, and Maintaining AI/BI Genie spaces · Data Modeling with Databricks SQL · Securing Data Languages: English. 1. Learn the basic terms Use flashcards for meanings, exam context and selection criteria. Mark known and unfamiliar terms for focused review. 2. Practice and read the explanations Study by exam-specific set, domain or difficulty. Read answer and option explanations; use unfinished and wrong-answer filters, shuffle, a timer and session resume. Practice in sets of 50 questions for each exam. 3. Review mistakes Revisit bookmarks, recent errors and repeated mistakes. Use glossary reports, weak-area analysis and study history to plan revision. 4. Check readiness with a timed mock Use each exam’s settings below, then review results, domain scores and mistakes. Mock questions / time limit (minutes), by exam: 1: 50 / 120; 2: 59 / 120; 3: 45 / 90; 4: 50 / 90; 5: 45 / 90 Tools that fit your study routine Audio study and autoplay are optional. Listen to terms and meanings and adjust repeats and pauses. Continue your routine with a study calendar, weekly goals, reminders and themes. Content, features, languages and paid access are specific to each exam. Check the included content and price before purchasing. This is an independent study aid, not an official, affiliated or endorsed app of any exam administrator or certification body. Exam names and trademarks belong to their respective owners.
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What's New in Data Engineer Exam Prep

1.0.12

November 11, 2026

Improved the reliability of study progress and card saves. Save errors now provide clearer feedback and allow retrying. Improved restoring your previous study position when reopening the app.

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