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Free Certified Data Engineer Professional: Certified Data Engineer Professional Exam Questions and Answers

Last updated: March 29, 2025

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95-Certified Data Engineer Professional: Certified Data Engineer Professional

#Question
How would you optimize Spark jobs for large datasets?
A.
Avoid caching
B.
Disable parallelism
C.
Use a standard RDD
D.
Increase executor memory
Correct Answer: D
Increasing executor memory allows Spark jobs to handle larger datasets more efficiently by providing enough resources for computations to run effectively.

Certified Data Engineer Professional: Certified Data Engineer Professional

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How would you optimize Spark jobs for large datasets?


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#Question
What is a primary reason for tuning Spark jobs in Databricks?
A.
To ignore data quality
B.
To avoid caching
C.
To optimize resource usage
D.
To increase costs
Correct Answer: C
Tuning Spark jobs in Databricks optimizes resource usage, enhancing job performance and overall efficiency within the data processing pipeline.

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What is a primary reason for tuning Spark jobs in Databricks?


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#Question
How does Delta Lake handle concurrent writes?
A.
By creating duplicates
B.
By waiting for locks
C.
Through optimistically and serializable transactions
D.
By rejecting new writes
Correct Answer: C
Delta Lake uses optimistically and serializable transaction mechanisms to manage concurrent writes, ensuring that data integrity is maintained.

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How does Delta Lake handle concurrent writes?


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#Question
What might be a consequence of ignoring data validation in Databricks ETL pipelines?
A.
Lengthy execution time
B.
More robust pipelines
C.
Increased processing speed
D.
Reduced data quality
Correct Answer: D
Ignoring data validation can significantly reduce data quality, leading to incorrect analytics results and escalation of data integrity issues over time.

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What might be a consequence of ignoring data validation in Databricks ETL pipelines?


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#Question
Which principle allows Delta Lake to manage transaction integrity?
A.
Data skimming
B.
Data compaction
C.
ACID compliance
D.
Schema enforcement
Correct Answer: C
ACID compliance principles allow Delta Lake to manage transaction integrity and maintain reliable data operations across concurrent transactions.

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Which principle allows Delta Lake to manage transaction integrity?


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#Question
What is a characteristic of a DataFrame in Spark?
A.
Temporal
B.
Requires manual configuration
C.
Immutable
D.
Basic data type
Correct Answer: C
A DataFrame in Spark is an immutable structure, meaning that once created, it cannot be changed, ensuring data integrity during operations.

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What is a characteristic of a DataFrame in Spark?


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#Question
What happens if you run an invalid SQL query in Databricks?
A.
The query is ignored
B.
An error is raised
C.
A warning is issued
D.
The notebook crashes
Correct Answer: B
Running an invalid SQL query in Databricks raises an error, providing feedback that something went wrong and requiring correction before proceeding.

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FAQ

Q1: What are Databricks Certification Exams? A: Databricks Certification Exams validate your expertise in using Databricks’ unified data analytics platform. These certifications demonstrate your proficiency in data engineering, data analysis, and machine learning, utilizing Databricks tools and the Apache Spark framework.

Q2: Why should I pursue Databricks Certification? A: Databricks Certification enhances your professional credibility, showcasing your skills and knowledge in big data analytics and machine learning. This can lead to better job opportunities, higher salaries, and career advancement in data science, data engineering, and IT industries.

Q3: What are the benefits of Databricks Certification? A: Benefits include recognition as a certified data professional, improved job performance, access to exclusive resources, continuing education opportunities, and staying current with the latest data analytics technologies and best practices.

Q4: Who should take Databricks Certification Exams? A: Data engineers, data scientists, data analysts, machine learning practitioners, and anyone involved in processing and analyzing large datasets should consider these certifications to validate their expertise and advance their careers.

Q5: What types of Databricks Certification Exams are available? A: Databricks offers various certification paths, including:

  • Databricks Certified Associate Developer for Apache Spark
  • Databricks Certified Professional Data Scientist
  • Databricks Certified Data Engineer Associate
  • Databricks Certified Data Engineer Professional

Each certification path is tailored to different roles and expertise levels within the data analytics ecosystem.

Q6: How do I prepare for Databricks Certification Exams? A: Preparation can include official Databricks training courses, study guides, practice exams, online tutorials, and hands-on experience with Databricks tools and the Apache Spark framework.

Q7: Where can I take Databricks Certification Exams? A: Databricks Certification Exams can be taken online, providing flexibility to fit your schedule and location.

Q8: How do Databricks Certifications impact my career? A: Databricks Certifications significantly boost your career by demonstrating your expertise to employers, making you a more competitive candidate for advanced roles and promotions in data science, data engineering, and IT.

Q9: Are there any prerequisites for Databricks Certification Exams? A: Some exams may have prerequisites, such as foundational knowledge or prior experience with Databricks and Apache Spark. Check the specific requirements for each certification path on the Databricks website.

Q10: How often do I need to recertify for Databricks Certifications? A: Databricks Certifications typically require recertification every two years to ensure that certified professionals stay updated with the latest data analytics technologies and industry practices.

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