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NEW QUESTION 47
You are asked to create a model to predict the total number of monthly subscribers for a specific magazine.
You are provided with 1 year's worth of subscription and payment data, user demographic data, and 10 years
worth of content of the magazine (articles and pictures). Which algorithm is the most appropriate for building
a predictive model for subscribers?

• A. Linear regression
• B. Logistic regression
• C. Decision trees
• D. TF-IDF

Answer: A

NEW QUESTION 48
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 set up the Job to run multiple times ensuring that at least one will complete
• B. They can observe the task as it runs to try and determine why it is failing
• C. They can institute a retry policy for the entire Job
• D. They can utilize a Jobs cluster for each of the tasks in the Job
• E. They can institute a retry policy for the task that periodically fails

Answer: E

NEW QUESTION 49
A data engineer has set up a notebook to automatically process using a Job. The data engineer's manager wants
to version control the schedule due to its complexity.
Which of the following approaches can the data engineer use to obtain a version-controllable con-figuration of
the Job's schedule?

• A. They can submit the Job once on an all-purpose cluster
• B. They can link the Job to notebooks that are a part of a Databricks Repo
• C. They can download the JSON description of the Job from the Job's page
• D. They can download the XML description of the Job from the Job's page
• E. They can submit the Job once on a Job cluster

Answer: C

NEW QUESTION 50
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, reduce(items) AS item_id
  2. FROM raw_table;
• B. 1. SELECT cart_id, flatten(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 51
......