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NEW QUESTION 27
A junior data engineer has ingested a JSON file into a table raw_table with the following schema:
1. cart_id STRING,
2. items ARRAY<item_id:STRING>
The junior data engineer would like to unnest the items column in raw_table to result in a new table with the
following schema:
1.cart_id STRING,
2.item_id STRING
Which of the following commands should the junior data engineer run to complete this task?
- A. 1. SELECT cart_id, flatten(items) AS item_id
2. FROM raw_table; - B. 1. SELECT cart_id, reduce(items) AS item_id
2. FROM raw_table; - C. 1. SELECT cart_id, filter(items) AS item_id
2. FROM raw_table; - D. 1. SELECT cart_id, slice(items) AS item_id
2. FROM raw_table; - E. 1. SELECT cart_id, explode(items) AS item_id
2. FROM raw_table;
Answer: E
NEW QUESTION 28
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 Development mode using the Triggered 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 continuously and the pipeline will not shut down. The compute resources
will persist with the pipeline - B. All datasets will be updated once and the pipeline will shut down. The compute resources will persist to
allow for additional testing - C. 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 - D. All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will
persist after the pipeline is stopped 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: B
NEW QUESTION 29
A data engineer has set up two Jobs that each run nightly. The first Job starts at 12:00 AM, and it usually
completes in about 20 minutes. The second Job depends on the first Job, and it starts at 12:30 AM. Sometimes,
the second Job fails when the first Job does not complete by 12:30 AM.
Which of the following approaches can the data engineer use to avoid this problem?
- A. They can set up the data to stream from the first Job to the second Job
- B. They can limit the size of the output in the second Job so that it will not fail as easily
- C. They can utilize multiple tasks in a single job with a linear dependency
- D. They can set up a retry policy on the first Job to help it run more quickly
- E. They can use cluster pools to help the Jobs run more efficiently
Answer: C
NEW QUESTION 30
……
