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Databricks Certified Data Engineer Professional Sample Questions:

1. A table named user_ltv is 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.
The user_ltv table 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 auditing group executes the following query:
SELECT * FROM user_ltv_no_minors
Which statement describes the results returned by this query?

A) All values for the age column will be returned as null values, all other columns will be returned with the values in user_ltv.
B) All columns will be displayed normally for those records that have an age greater than 18; records not meeting this condition will be omitted.
C) All records from all columns will be displayed with the values in user_ltv.
D) All age values less than 18 will be returned as null values all other columns will be returned with the values in user_ltv.
E) All columns will be displayed normally for those records that have an age greater than 17; records not meeting this condition will be omitted.

2. An upstream system has been configured to pass the date for a given batch of data to the Databricks Jobs API as a parameter. The notebook to be scheduled will use this parameter to load data with the following code:
df = spark.read.format("parquet").load(f"/mnt/source/(date)")
Which code block should be used to create the date Python variable used in the above code block?

A) dbutils.widgets.text("date", "null")
date = dbutils.widgets.get("date")
B) import sys
date = sys.argv[1]
C) date = dbutils.notebooks.getParam("date")
D) input_dict = input()
date= input_dict["date"]
E) date = spark.conf.get("date")

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

4. A CHECK constraint has been successfully added to the Delta table named activity_details using the following logic:

A batch job is attempting to insert new records to the table, including a record where latitude =
45.50 and longitude = 212.67.
Which statement describes the outcome of this batch insert?

A) The write will include all records in the target table; any violations will be indicated in the boolean column named valid_coordinates.
B) The write will fail when the violating record is reached; any records previously processed will be recorded to the target table.
C) The write will fail completely because of the constraint violation and no records will be inserted into the target table.
D) The write will insert all records except those that violate the table constraints; the violating records will be recorded to a quarantine table.
E) The write will insert all records except those that violate the table constraints; the violating records will be reported in a warning log.

5. Spill occurs as a result of executing various wide transformations. However, diagnosing spill requires one to proactively look for key indicators.
Where in the Spark UI are two of the primary indicators that a partition is spilling to disk?

A) Driver's and Executor's log files
B) Stage's detail screen and Executor's log files
C) Executor's detail screen and Executor's log files
D) Stage's detail screen and Query's detail screen
E) Query's detail screen and Job's detail screen

Solutions: