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Databricks Certified Data Engineer Associate Exam Sample Questions (Q143-Q148):

NEW QUESTION # 143
A data engineer has three tables in a Delta Live Tables (DLT) pipeline. They have configured the pipeline to drop invalid records at each table. They notice that some data is being dropped due to quality concerns at some point in the DLT pipeline. They would like to determine at which table in their pipeline the data is being dropped.
Which of the following approaches can the data engineer take to identify the table that is dropping the records?

A. They cannot determine which table is dropping the records.
B. They can set up DLT to notify them via email when records are dropped.
C. They can navigate to the DLT pipeline page, click on each table, and view the data quality statistics.
D. They can navigate to the DLT pipeline page, click on the "Error" button, and review the present errors.
E. They can set up separate expectations for each table when developing their DLT pipeline.

Answer: C

NEW QUESTION # 144
A data engineer needs to enforce row-level security on main.secure.events(region STRING, event_id STRING). Members of the account group all_regions need to see all rows. All other users need to see only rows where region = 'EU'. Which SQL sequence satisfies the requirement?

Answer: D

Explanation:
The Boolean UDF must be created first and then assigned to the table using SET ROW FILTER ... ON. It returns TRUE for every row when the user belongs to all_regions; otherwise, it returns TRUE only for EU rows.

NEW QUESTION # 145
A data engineer needs to optimize the data layout and query performance for an e-commerce transactions Delta table. The table is partitioned by "purchase_date" a date column which helps with time-based queries but does not optimize searches on user statistics "customer_id", a high-cardinality column.
The table is usually queried with filters on "customer_i
d" within specific date ranges, but since this data is spread across multiple files in each partition, it results in full partition scans and increased runtime and costs.
How should the data engineer optimize the Data Layout for efficient reads?

A. Alter table implementing liquid clustering on "customerid" while keeping the existing partitioning.
B. Alter the table to partition by "customer_id".
C. Alter the table implementing liquid clustering by "customer_id" and "purchase_date".
D. Enable delta caching on the cluster so that frequent reads are cached for performance.

Answer: C

NEW QUESTION # 146
A new data engineering team has been assigned to work on a project. The team will need access to database customers in order to see what tables already exist. The team has its own group team.
Which of the following commands can be used to grant the necessary permission on the entire database to the new team?

A. GRANT CREATE ON DATABASE customers TO team;
B. GRANT VIEW ON CATALOG customers TO team;
C. GRANT USAGE ON CATALOG team TO customers;
D. GRANT USAGE ON DATABASE customers TO team;
E. GRANT CREATE ON DATABASE team TO customers;

Answer: D

Explanation:
Explanation
The GRANT statement is used to grant privileges on a database, table, or view to a user or role. The ALL PRIVILEGES option grants all possible privileges on the specified object, such as CREATE, SELECT, MODIFY, and USAGE. The syntax of the GRANT statement is:
GRANT privilege_type ON object TO user_or_role;
Therefore, to grant full permissions on the database customers to the new data engineering team, the command should be:
GRANT ALL PRIVILEGES ON DATABASE customers TO team;

NEW QUESTION # 147
A Delta Live Table pipeline includes two datasets defined using STREAMING LIVE TABLE. Three datasets are defined against Delta Lake table sources using LIVE TABLE.
The table is configured to run in Production mode using the Continuous Pipeline Mode.
Assuming previously unprocessed data exists and all definitions are valid, what is the expected outcome after clicking Start to update the pipeline?

A. All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will be deployed for the update and terminated when the pipeline is stopped.
B. All datasets will be updated once and the pipeline will persist without any processing. The compute resources will persist but go unused.
C. All datasets will be updated once and the pipeline will shut down. The compute resources will persist to allow for additional testing.
D. All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will persist to allow for additional testing.
E. All datasets will be updated once and the pipeline will shut down. The compute resources will be terminated.

Answer: C

NEW QUESTION # 148
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