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Databricks Certified Data Engineer Associate Exam Sample Questions (Q157-Q162):

NEW QUESTION # 157
A data engineer only wants to execute the final block of a Python program if the Python variable day_of_week is equal to 1 and the Python variable review_period is True.
Which of the following control flow statements should the data engineer use to begin this conditionally executed code block?

A. if day_of_week == 1 and review_period:
B. if day_of_week = 1 and review_period = "True":
C. if day_of_week = 1 and review_period:
D. if day_of_week == 1 and review_period == "True":
E. if day_of_week = 1 & review_period: = "True":

Answer: D

NEW QUESTION # 158
A data engineer has been given a new record of data:
id STRING = 'a1'
rank INTEGER = 6
rating FLOAT = 9.4
Which of the following SQL commands can be used to append the new record to an existing Delta table my_table?

A. UPDATE VALUES ('a1', 6, 9.4) my_table
B. INSERT VALUES ( 'a1' , 6, 9.4) INTO my_table
C. UPDATE my_table VALUES ('a1', 6, 9.4)
D. INSERT INTO my_table VALUES ('a1', 6, 9.4)
E. my_table UNION VALUES ('a1', 6, 9.4)

Answer: D

Explanation:
To append a new record to an existing Delta table, you can use the INSERT INTO statement with the VALUES clause. This statement will insert one or more rows into the table with the specified values.
Option A is the only code block that follows this syntax correctly. Option B is incorrect, as it uses the UNION operator, which will return a new table that is the union of two tables, not append to an existing table. Option C is incorrect, as it uses the INSERT VALUES statement, which is not a valid SQL syntax.
Option D is incorrect, as it uses the UPDATE statement, which will modify existing rows in the table, not append new rows. Option E is incorrect, as it uses the UPDATE VALUES statement, which is also not a valid SQL syntax. References: Insert data into a table using SQL | Databricks on AWS, Insert data into a table using SQL - Azure Databricks, Delta Lake Quickstart - Azure Databricks

NEW QUESTION # 159
A global retail company sells products across multiple categories (e.g.. Electronics, Clothing) and regions (e.
g.. North. South, East. West). The sales team has provided the data engineer with a PySpark dataframe named sales_df as below and the team wants the data engineer to analyze the sales data to help them make strategic decisions.

A. Category_sales = sales_df.sum("3ales_amount"). g-1- upBy("categcryn).alias("toLal_sales_amount))
B. Category_sales = sales df.groupBy("category").agg(sum("sales amount") .alias ("total sales amount"))
C. Category_sale: .es df -agg (sum ("sales amount") .-;r*i:rRy ("category") .alias ("total sa.en amount"))
D. Category_sales = sales_df.groupBy("reqion"). agq(sum("sales_amountn).alias(ntotal_sales_amount''))

Answer: B

NEW QUESTION # 160
A company uses Delta Sharing to collaborate with partners across different cloud providers and geographic regions. What will result in additional costs due to cross-region or egress fees?

A. Sharing data within the same cloud provider and region
B. Transferring data via Delta Sharing across clouds and across different geographic regions
C. Accessing Delta Sharing data using a VPN within the same data center
D. Utilizing Delta Sharing for internal data analytics within a single cloud environment

Answer: B

Explanation:
Databricks documents that Delta Sharing does not require data replication , but cloud providers can still charge data egress fees when data is shared across clouds or across geographic regions . Databricks specifically states that sharing within the same region incurs no egress cost , while cross-cloud or cross- region transfers can create additional charges from the underlying cloud provider. That means option A is correct. Options B and C describe same-cloud or same-region use cases that do not trigger the cross-region
/cross-cloud egress pattern Databricks calls out. Option D is unrelated to the main documented billing driver for Delta Sharing costs. The important principle is that Delta Sharing itself is designed to avoid replication overhead, but the physical movement of data between cloud boundaries or regions can still result in vendor networking charges. Therefore, when sharing data with external partners in other regions or clouds, engineers should plan for possible egress costs and monitor them accordingly.
=========

NEW QUESTION # 161
The Delta transaction log for the 'students' tables is shown using the 'DESCRIBE HISTORY students' command. A Data Engineer needs to query the table as it existed before the UPDATE operation listed in the log.

Which command should the Data Engineer use to achieve this? (Choose two.)

A. SELECT * FROM students@v4
B. SELECT * FROM students FROM HISTORY VERSION AS OF 3
C. SELECT * FROM students TIMESTAMP AS OF '2024-04-22T 14:32:47.000+00:00'
D. SELECT * FROM students TIMESTAMP AS OF '2024-04-22T 14:32:58.000+00:00'
E. SELECT * FROM students VERSION AS OF 5

Answer: A,C

NEW QUESTION # 162
......

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