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최신 Databricks Certification Databricks-Certified-Data-Engineer-Professional 무료샘플문제:

1. Which statement describes Delta Lake optimized writes?

A) An asynchronous job runs after the write completes to detect if files could be further compacted; yes, an OPTIMIZE job is executed toward a default of 1 GB.
B) A shuffle occurs prior to writing to try to group data together resulting in fewer files instead of each executor writing multiple files based on directory partitions.
C) Before a job cluster terminates, OPTIMIZE is executed on all tables modified during the most recent job.
D) Optimized writes logical partitions instead of directory partitions partition boundaries are only Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from represented in metadata fewer small files are written.

2. The view updates represents an incremental batch of all newly ingested data to be inserted or Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from updated in the customers table.
The following logic is used to process these records.
MERGE INTO customers
USING (
SELECT updates.customer_id as merge_ey, updates .*
FROM updates
UNION ALL
SELECT NULL as merge_key, updates .*
FROM updates JOIN customers
ON updates.customer_id = customers.customer_id
WHERE customers.current = true AND updates.address <> customers.address ) staged_updates ON customers.customer_id = mergekey WHEN MATCHED AND customers. current = true AND customers.address <> staged_updates.address THEN UPDATE SET current = false, end_date = staged_updates.effective_date WHEN NOT MATCHED THEN INSERT (customer_id, address, current, effective_date, end_date) VALUES (staged_updates.customer_id, staged_updates.address, true, staged_updates.effective_date, null) Which statement describes this implementation?

A) The customers table is implemented as a Type 2 table; old values are overwritten and new customers are appended.
B) The customers table is implemented as a Type 1 table; old values are overwritten by new values and no history is maintained.
C) The customers table is implemented as a Type 0 table; all writes are append only with no changes to existing values.
D) The customers table is implemented as a Type 2 table; old values are maintained but marked as no longer current and new values are inserted.

3. A user wants to use DLT expectations to validate that a derived table report contains all records from the source, included in the table validation_copy.
The user attempts and fails to accomplish this by adding an expectation to the report table definition.
Which approach would allow using DLT expectations to validate all expected records are present in this table?

A) Define a view that performs a left outer join on validation_copy and report, and reference this view in DLT expectations for the report table
B) Define a temporary table that perform a left outer join on validation_copy and report, and define an expectation that no report key values are null
C) Define a SQL UDF that performs a left outer join on two tables, and check if this returns null values for report key values in a DLT expectation for the report table.
D) Define a function that performs a left outer join on validation_copy and report and report, and check against the result in a DLT expectation for the report table

4. A table named user_ltv is being used to create a view that will be used by data analysts on Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from 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 marketing group executes the following query:
SELECT * FROM email_ltv
Which statement describes the results returned by this query?

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

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

질문과 대답: