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Databricks Databricks-Certified-Data-Engineer-Professional Exam Syllabus Topics:

Databricks Certified Data Engineer Professional Sample Questions:

1. Which statement describes Delta Lake Auto Compaction?

A) Before a Jobs cluster terminates, optimize is executed on all tables modified during the most recent job.
B) An asynchronous job runs after the write completes to detect if files could be further compacted; if yes, an optimize job is executed toward a default of 128 MB.
C) Data is queued in a messaging bus instead of committing data directly to memory; all data is committed from the messaging bus in one batch once the job is complete.
D) An asynchronous job runs after the write completes to detect if files could be further compacted; if yes, an optimize job is executed toward a default of 1 GB.
E) Optimized writes use logical partitions instead of directory partitions; because partition boundaries are only represented in metadata, fewer small files are written.

2. A data engineer needs to create an application that will collect information about the latest job run including the repair history. How should the data engineer format the request?

A) Call/api/2.1/jobs/runs/get with the job_id and include_history parameters
B) Call/api/2.1/jobs/runs/get with the run_id and include_history parameters
C) Call/api/2.1/jobs/runs/list with the job_id and include_history parameters
D) Call/api/2.1/jobs/runs/list with the run_id and include_history parameters

3. A Structured Streaming job deployed to production has been resulting in higher than expected cloud storage costs. At present, during normal execution, each microbatch of data is processed in less than 3s; at least 12 times per minute, a microbatch is processed that contains 0 records. The streaming write was configured using the default trigger settings. The production job is currently scheduled alongside many other Databricks jobs in a workspace with instance pools provisioned to reduce start-up time for jobs with batch execution.
Holding all other variables constant and assuming records need to be processed in less than 10 minutes, which adjustment will meet the requirement?

A) Set the trigger interval to 10 minutes; each batch calls APIs in the source storage account, so decreasing trigger frequency to maximum allowable threshold should minimize this cost.
B) Increase the number of shuffle partitions to maximize parallelism, since the trigger interval cannot be modified without modifying the checkpoint directory.
C) Use the trigger once option and configure a Databricks job to execute the query every 10 minutes; this approach minimizes costs for both compute and storage.
D) Set the trigger interval to 500 milliseconds; setting a small but non-zero trigger interval ensures that the source is not queried too frequently.
E) Set the trigger interval to 3 seconds; the default trigger interval is consuming too many records per batch, resulting in spill to disk that can increase volume costs.

4. Which statement regarding spark configuration on the Databricks platform is true?

A) When the same spar configuration property is set for an interactive to the same interactive cluster.
B) The Databricks REST API can be used to modify the Spark configuration properties for an interactive cluster without interrupting jobs.
C) Spark configuration properties can only be set for an interactive cluster by creating a global init script.
D) Spark configuration set within an notebook will affect all SparkSession attached to the same interactive cluster
E) Spark configuration properties set for an interactive cluster with the Clusters UI will impact all notebooks attached to that cluster.

5. Although the Databricks Utilities Secrets module provides tools to store sensitive credentials and avoid accidentally displaying them in plain text users should still be careful with which credentials are stored here and which users have access to using these secrets.
Which statement describes a limitation of Databricks Secrets?

A) Account administrators can see all secrets in plain text by logging on to the Databricks Accounts console.
B) The Databricks REST API can be used to list secrets in plain text if the personal access token has proper credentials.
C) Secrets are stored in an administrators-only table within the Hive Metastore; database administrators have permission to query this table by default.
D) Iterating through a stored secret and printing each character will display secret contents in plain text.
E) Because the SHA256 hash is used to obfuscate stored secrets, reversing this hash will display the value in plain text.

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