Nest 0 Cart
Nest Account
Popular Exams
All Categories...
Nest
Nest 0
Contact
Log In / Sign Up
Copyright 2024 © store. All rights reserved.
Home Databricks Certified Data Engineer Associate

Databricks Certified Data Engineer Associate Exam Practice Questions (P. 2)

  • Full Access (322 questions)
  • One Year of Premium Access
  • Access to one million comments
  • Seamless ChatGPT Integration
  • Ability to download PDF files
  • Anki Flashcard files for revision
  • No Captcha & No AdSense
  • Advanced Exam Configuration
Get Contributor Access
Question #11
A data engineer has left the organization. The data team needs to transfer ownership of the data engineer’s Delta tables to a new data engineer. The new data engineer is the lead engineer on the data team.
Assuming the original data engineer no longer has access, which of the following individuals must be the one to transfer ownership of the Delta tables in Data Explorer?
  1. A
    Databricks account representative
  2. B
    This transfer is not possible
  3. C
    Workspace administrator
  4. D
    New lead data engineer
  5. E
    Original data engineer

Correct Answer:
C
chatbot-img GPT
The correct response seems to be C, the Workspace Administrator rather than D, the New Lead Data Engineer. Workspace administrators customarily hold the authority necessary for changing ownership of resources like Delta tables in Data Explorer. This task normally falls under administrative privileges because they manage broader access controls and data governance frameworks, especially when the original owner is no longer available to make such changes. Always be sure to consult specific workspace permissions and configurations to verify the appropriate procedures.

Question #12
A data analyst has created a Delta table sales that is used by the entire data analysis team. They want help from the data engineering team to implement a series of tests to ensure the data is clean. However, the data engineering team uses Python for its tests rather than SQL.
Which of the following commands could the data engineering team use to access sales in PySpark?
  1. A
    SELECT * FROM sales
  2. B
    There is no way to share data between PySpark and SQL.
  3. C
    spark.sql("sales")D. spark.delta.table("sales")
  4. D
    spark.table("sales")

Correct Answer: E
chatbot-img GPT
The correct function for the data engineering team to use in accessing the "sales" Delta table within a PySpark environment would indeed be spark.table("sales"). This function allows them to access any table that's registered in the Spark Session catalog, facilitating the execution of Python-based operations on the Delta table. It’s a straightforward and common method in PySpark to engage with tables without needing to specify the data format, making it an apt choice for seamlessly transitioning between SQL and PySpark contexts.

Question #13
Which of the following commands will return the location of database customer360?
  1. A
    DESCRIBE LOCATION customer360;
  2. B
    DROP DATABASE customer360;
  3. C
    DESCRIBE DATABASE customer360;
  4. D
    ALTER DATABASE customer360 SET DBPROPERTIES ('location' = '/user'};
  5. E
    USE DATABASE customer360;

Correct Answer:
C
chatbot-img GPT
For the retrieval of the location of the database "customer360" especially in environments like Hive or Databricks, the command "DESCRIBE DATABASE customer360" is indeed the correct choice. It succinctly gives you comprehensive details about the database, of which the location is a key part. Utilizing this precise command effectively fetches all necessary metadata, ensuring clarity and ease in database management.

Question #14
A data engineer wants to create a new table containing the names of customers that live in France.
They have written the following command:

A senior data engineer mentions that it is organization policy to include a table property indicating that the new table includes personally identifiable information (PII).
Which of the following lines of code fills in the above blank to successfully complete the task?
  1. A
    There is no way to indicate whether a table contains PII.
  2. B
    "COMMENT PII"
  3. C
    TBLPROPERTIES PII
  4. D
    COMMENT "Contains PII"
  5. E
    PII

Correct Answer:
D

Question #15
Which of the following benefits is provided by the array functions from Spark SQL?
  1. A
    An ability to work with data in a variety of types at once
  2. B
    An ability to work with data within certain partitions and windows
  3. C
    An ability to work with time-related data in specified intervals
  4. D
    An ability to work with complex, nested data ingested from JSON files
  5. E
    An ability to work with an array of tables for procedural automation

Correct Answer:
D
chatbot-img GPT
Array functions in Spark SQL are particularly valuable for handling complex, nested data structures, frequently found in JSON files. These functions streamline the processing of nested arrays and structures, enabling easier manipulation, querying, and extraction of specific elements. This empowers data engineers to efficiently handle and analyze data that comes in layered or hierarchical formats. If you're dealing with such complex data types, leveraging these array functions can significantly simplify your workflows.

Question #16
Which of the following commands can be used to write data into a Delta table while avoiding the writing of duplicate records?
  1. A
    DROP
  2. B
    IGNORE
  3. C
    MERGE
  4. D
    APPEND
  5. E
    INSERT

Correct Answer:
C
chatbot-img GPT
The MERGE command in Delta Lake indeed shines for its ability to perform upserts—that is, update existing records and insert new ones based on defined conditions. Beyond simply writing data, it checks against what's already present, seamlessly syncing incoming data with the current state of the table, ensuring no duplicates emerge. It's the go-to for maintaining cleanliness and accuracy in your Delta tables, making it the perfect fit for the task described.

Question #17
A data engineer needs to apply custom logic to string column city in table stores for a specific use case. In order to apply this custom logic at scale, the data engineer wants to create a SQL user-defined function (UDF).
Which of the following code blocks creates this SQL UDF?
  1. A
  2. B
  3. C
  4. D
  5. E

Correct Answer:
A

Question #18
A data analyst has a series of queries in a SQL program. The data analyst wants this program to run every day. They only want the final query in the program to run on Sundays. They ask for help from the data engineering team to complete this task.
Which of the following approaches could be used by the data engineering team to complete this task?
  1. A
    They could submit a feature request with Databricks to add this functionality.
  2. B
    They could wrap the queries using PySpark and use Python’s control flow system to determine when to run the final query.
  3. C
    They could only run the entire program on Sundays.
  4. D
    They could automatically restrict access to the source table in the final query so that it is only accessible on Sundays.
  5. E
    They could redesign the data model to separate the data used in the final query into a new table.

Correct Answer:
B

Question #19
A data engineer runs a statement every day to copy the previous day’s sales into the table transactions. Each day’s sales are in their own file in the location "/transactions/raw".
Today, the data engineer runs the following command to complete this task:

After running the command today, the data engineer notices that the number of records in table transactions has not changed.
Which of the following describes why the statement might not have copied any new records into the table?
  1. A
    The format of the files to be copied were not included with the FORMAT_OPTIONS keyword.
  2. B
    The names of the files to be copied were not included with the FILES keyword.
  3. C
    The previous day’s file has already been copied into the table.
  4. D
    The PARQUET file format does not support COPY INTO.
  5. E
    The COPY INTO statement requires the table to be refreshed to view the copied rows.

Correct Answer:
C

Question #20
A data engineer needs to create a table in Databricks using data from their organization’s existing SQLite database.
They run the following command:

Which of the following lines of code fills in the above blank to successfully complete the task?
  1. A
    org.apache.spark.sql.jdbc
  2. B
    autoloader
  3. C
    DELTA
  4. D
    sqlite
  5. E
    org.apache.spark.sql.sqlite

Correct Answer:
A

Previous Questions Next Questions

All Pages