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The Databricks Certified Professional Data Engineer exam is designed to test the skills and knowledge of individuals who work with big data and cloud computing technologies. This exam is primarily focused on assessing candidates’ abilities to design, build, and maintain big data solutions using the Apache Spark platform. This certification is highly valued in the industry and can help individuals demonstrate their proficiency in managing big data projects.
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The Databricks Certified Professional Data Engineer exam is a hands-on exam that requires the candidate to complete a set of tasks using Databricks. The exam evaluates the candidate's ability to design and implement data pipelines, work with data sources and sinks, and perform transformations using Databricks. The exam also tests the candidate's ability to optimize and tune data pipelines for performance and reliability.
Databricks Certified Professional Data Engineer Exam Sample Questions (Q202-Q207):
NEW QUESTION # 202
Which of the following programming languages can be used to build a Databricks SQL dashboard?
- A. SQL
- B. Scala
- C. R
- D. Python
- E. All of the above
Answer: A
NEW QUESTION # 203
Why does AUTO LOADER require schema location?
- A. Schema location is used to identify the schema of target table
- B. Schema location is used to store user provided schema
- C. AUTO LOADER does not require schema location, because its supports Schema evolution
- D. Schema location is used to identify the schema of target table and source table
- E. Schema location is used to store schema inferred by AUTO LOADER
Answer: E
Explanation:
Explanation
The answer is, Schema location is used to store schema inferred by AUTO LOADER, so the next time AUTO LOADER runs faster as does not need to infer the schema every single time by trying to use the last known schema.
Auto Loader samples the first 50 GB or 1000 files that it discovers, whichever limit is crossed first. To avoid incurring this inference cost at every stream start up, and to be able to provide a stable schema across stream restarts, you must set the option cloudFiles.schemaLocation. Auto Loader creates a hidden directory _schemas at this location to track schema changes to the input data over time.
The below link contains detailed documentation on different options
Auto Loader options | Databricks on AWS
NEW QUESTION # 204
The data engineering team noticed that one of the job fails randomly as a result of using spot in-stances, what feature in Jobs/Tasks can be used to address this issue so the job is more stable when using spot instances?
- A. Add second task and add a check condition to rerun the first task if it fails
- B. Add a retry policy to the task
- C. Use Jobs runs, active runs UI section to monitor and restart the job
- D. Restart the job cluster, job automatically restarts
- E. Use Databrick REST API to monitor and restart the job
Answer: B
Explanation:
Explanation
The answer is, Add a retry policy to the task
Tasks in Jobs support Retry Policy, which can be used to retry a failed tasks, especially when using spot instance it is common to have failed executors or driver.
NEW QUESTION # 205
Drop the customers database and associated tables and data, all of the tables inside the database are managed tables. Which of the following SQL commands will help you accomplish this?
- A. DROP DATABASE customers FORCE
- B. All the tables must be dropped first before dropping database
- C. DROP DATABASE customers CASCADE
- D. DROP DELTA DATABSE customers
- E. DROP DATABASE customers INCLUDE
Answer: E
Explanation:
Explanation
The answer is DROP DATABASE customers CASCADE
Drop database with cascade option drops all the tables, since all of the tables inside the database are managed tables we do not need to perform any additional steps to clean the data in the storage.
NEW QUESTION # 206
Which of the following SQL commands are used to append rows to an existing delta table?
- A. COPY DELTA INTO table_name
- B. UPDATE table_name
- C. INSERT INTO table_name
- D. APPEND INTO table_name
- E. APPEND INTO DELTA table_name
Answer: C
Explanation:
Explanation
The answer is INSERT INTO table_name
Insert adds rows to an existing table, this is very similar to add rows a traditional Database or Da-tawarehouse.
NEW QUESTION # 207
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