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NEW QUESTION 48

A junior data engineer needs to create a Spark SQL table my_table for which Spark manages both the data and

the metadata. The metadata and data should also be stored in the Databricks Filesystem (DBFS).

Which of the following commands should a senior data engineer share with the junior data engineer to

complete this task?

  • A. 1. CREATE TABLE my_table (id STRING, value STRING) USING DBFS;
  • B. 1. CREATE TABLE my_table (id STRING, value STRING);
  • C. 1. CREATE MANAGED TABLE my_table (id STRING, value STRING) USING

    2. org.apache.spark.sql.parquet OPTIONS (PATH "storage-path");
  • D. 1. CREATE MANAGED TABLE my_table (id STRING, value STRING);
  • E. 1. CREATE TABLE my_table (id STRING, value STRING) USING

    2. org.apache.spark.sql.parquet OPTIONS (PATH "storage-path")

Answer: B

NEW QUESTION 49

A data engineer has three notebooks in an ELT pipeline. The notebooks need to be executed in a specific order

for the pipeline to complete successfully. The data engineer would like to use Delta Live Tables to manage this

process.

Which of the following steps must the data engineer take as part of implementing this pipeline using Delta

Live Tables?

  • A. They need to create a Delta Live Tables pipeline from the Data page
  • B. They need to create a Delta Live tables pipeline from the Compute page
  • C. They need to refactor their notebook to use Python and the dlt library
  • D. They need to create a Delta Live Tables pipeline from the Jobs page
  • E. They need to refactor their notebook to use SQL and CREATE LIVE TABLE keyword

Answer: D

NEW QUESTION 50

A data engineering manager has noticed that each of the queries in a Databricks SQL dashboard takes a few

minutes to update when they manually click the "Refresh" button. They are curious why this might be

occurring, so a team member provides a variety of reasons on why the delay might be occurring.

Which of the following reasons fails to explain why the dashboard might be taking a few minutes to update?

  • A. The queries attached to the dashboard might first be checking to determine if new data is available
  • B. The SQL endpoint being used by each of the queries might need a few minutes to start up
  • C. The queries attached to the dashboard might take a few minutes to run under normal circumstances
  • D. The Job associated with updating the dashboard might be using a non-pooled endpoint
  • E. The queries attached to the dashboard might all be connected to their own, unstarted Databricks clusters

Answer: D

NEW QUESTION 51

A data engineer has a Job with multiple tasks that runs nightly. One of the tasks unexpectedly fails during 10

percent of the runs.

Which of the following actions can the data engineer perform to ensure the Job completes each night while

minimizing compute costs?

  • A. They can institute a retry policy for the task that periodically fails
  • B. They can institute a retry policy for the entire Job
  • C. They can utilize a Jobs cluster for each of the tasks in the Job
  • D. They can observe the task as it runs to try and determine why it is failing
  • E. They can set up the Job to run multiple times ensuring that at least one will complete

Answer: A

NEW QUESTION 52

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