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Databricks Certified Professional Data Engineer Exam Sample Questions (Q49-Q54):

NEW QUESTION # 49
How does Lakehouse replace the dependency on using Data lakes and Data warehouses in a Data and Analytics solution?

A. Supports ACID transactions.
B. Open, direct access to data stored in standard data formats.
C. Support for end-to-end streaming and batch workloads
D. Supports BI and Machine learning workloads
E. All the above

Answer: E

Explanation:
Explanation
Lakehouse combines the benefits of a data warehouse and data lakes,
Lakehouse = Data Lake + DataWarehouse
Here are some of the major benefits of a lakehouse
Text, letter Description automatically generated

Lakehouse = Data Lake + DataWarehouse
A picture containing text, blackboard Description automatically generated

NEW QUESTION # 50
Which of the following locations hosts the driver and worker nodes of a Databricks-managed clus-ter?

A. Control plane
B. JDBC data source
C. Databricks Filesystem
D. Data plane
E. Databricks web application

Answer: D

Explanation:
Explanation
See the Databricks high-level architecture

NEW QUESTION # 51
You have configured AUTO LOADER to process incoming IOT data from cloud object storage every 15 mins, recently a change was made to the notebook code to update the processing logic but the team later realized that the notebook was failing for the last 24 hours, what steps team needs to take to reprocess the data that was not loaded after the notebook was corrected?

A. Enable back_fill = TRUE to reprocess the data
B. Delete the checkpoint folder and run the autoloader again
C. Autoloader automatically re-processes data that was not loaded
D. Manually re-load the data
E. Move the files that were not processed to another location and manually copy the files into the ingestion path to reprocess them

Answer: C

Explanation:
Explanation
The answer is,
Autoloader automatically re-processes data that was not loaded using the checkpoint.

NEW QUESTION # 52
A table nameduser_ltvis being used to create a view that will be used by data analysts on various teams. Users in the workspace are configured into groups, which are used for setting up data access using ACLs.
Theuser_ltvtable has the following schema:
email STRING, age INT, ltv INT
The following view definition is executed:

An analyst who is not a member of the marketing group executes the following query:
SELECT * FROM email_ltv
Which statement describes the results returned by this query?

A. The email and ltv columns will be returned with the values in user itv.
B. Three columns will be returned, but one column will be named "redacted" and contain only null values.
C. Only the email and ltv columns will be returned; the email column will contain the string
"REDACTED" in each row.
D. The email, age. and ltv columns will be returned with the values in user ltv.
E. Only the email and itv columns will be returned; the email column will contain all null values.

Answer: C

Explanation:
The code creates a view called email_ltv that selects the email and ltv columns from a table called user_ltv, which has the following schema: email STRING, age INT, ltv INT. The code also uses the CASE WHEN expression to replace the email values with the string "REDACTED" if the user is not a member of the marketing group. The user who executes the query is not a member of the marketing group, so they will only see the email and ltv columns, and the email column will contain the string "REDACTED" in each row.
Verified References: [Databricks Certified Data Engineer Professional], under "Lakehouse" section; Databricks Documentation, under "CASE expression" section.

NEW QUESTION # 53
When scheduling Structured Streaming jobs for production, which configuration automatically recovers from query failures and keeps costs low?

A. Cluster: Existing All-Purpose Cluster;
Retries: Unlimited;
Maximum Concurrent Runs: 1
B. Cluster: New Job Cluster;
Retries: None;
Maximum Concurrent Runs: 1
C. Cluster: New Job Cluster;
Retries: Unlimited;
Maximum Concurrent Runs: Unlimited
D. Cluster: Existing All-Purpose Cluster;
Retries: None;
Maximum Concurrent Runs: 1
E. Cluster: Existing All-Purpose Cluster;
Retries: Unlimited;
Maximum Concurrent Runs: 1

Answer: A

Explanation:
Explanation
The configuration that automatically recovers from query failures and keeps costs low is to use a new job cluster, set retries to unlimited, and set maximum concurrent runs to 1. This configuration has the following advantages:
A new job cluster is a cluster that is created and terminated for each job run. This means that the cluster resources are only used when the job is running, and no idle costs are incurred. This also ensures that the cluster is always in a clean state and has the latest configuration and libraries for the job1.
Setting retries to unlimited means that the job will automatically restart the query in case of any failure, such as network issues, node failures, or transient errors. This improves the reliability and availability of the streaming job, and avoids data loss or inconsistency2.
Setting maximum concurrent runs to 1 means that only one instance of the job can run at a time. This prevents multiple queries from competing for the same resources or writing to the same output location, which can cause performance degradation or data corruption3.
Therefore, this configuration is the best practice for scheduling Structured Streaming jobs for production, as it ensures that the job is resilient, efficient, and consistent.
References: Job clusters, Job retries, Maximum concurrent runs

NEW QUESTION # 54
......

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