Databricks Databricks-Certified-Professional-Data-Engineer Practice Exams - Valid Databricks-Certified-Professional-Data-Engineer Test Pattern

Databricks Databricks-Certified-Professional-Data-Engineer Practice Exams - Valid Databricks-Certified-Professional-Data-Engineer Test Pattern
6 min read
04 December 2022

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Download Databricks Certified Professional Data Engineer Exam Exam Dumps

NEW QUESTION 39
Which of the following describes a benefit of a data lakehouse that is unavailable in a traditional data
warehouse?

  • A. A data lakehouse captures snapshots of data for version control purposes
  • B. A data lakehouse utilizes proprietary storage formats for data
  • C. A data lakehouse enables both batch and streaming analytics
  • D. A data lakehouse provides a relational system of data management
  • E. A data lakehouse couples storage and compute for complete control

Answer: C

NEW QUESTION 40
Which of the following locations hosts the driver and worker nodes of a Databricks-managed clus-ter?

  • A. JDBC data source
  • B. Data plane
  • C. Control plane
  • D. Databricks Filesystem
  • E. Databricks web application

Answer: B

Explanation:
Explanation
See the Databricks high-level architecture

NEW QUESTION 41
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 take a few minutes to run under normal circumstances
  • 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 all be connected to their own, unstarted Databricks clusters
  • D. The Job associated with updating the dashboard might be using a non-pooled endpoint
  • E. The queries attached to the dashboard might first be checking to determine if new data is available

Answer: D

NEW QUESTION 42
A data analyst has provided a data engineering team with the following Spark SQL query:
1.SELECT district,
2.avg(sales)
3.FROM store_sales_20220101
4.GROUP BY district;
The data analyst would like the data engineering team to run this query every day. The date at the end of the
table name (20220101) should automatically be replaced with the current date each time the query is run.
Which of the following approaches could be used by the data engineering team to efficiently auto-mate this
process?

  • A. They could request that the data analyst rewrites the query to be run less frequently
  • B. They could manually replace the date within the table name with the current day's date
  • C. They could replace the string-formatted date in the table with a timestamp-formatted date
  • D. They could pass the table into PySpark and develop a robustly tested module on the existing query
  • E. They could wrap the query using PySpark and use Python's string variable system to automatically
    update the table name

Answer: E

NEW QUESTION 43
A data engineer wants to create a relational object by pulling data from two tables. The relational object must
be used by other data engineers in other sessions. In order to save on storage costs, the data engineer wants to
avoid copying and storing physical data.
Which of the following relational objects should the data engineer create?

  • A. Delta Table
  • B. Database
  • C. Temporary view
  • D. Spark SQL Table
  • E. View

Answer: E

NEW QUESTION 44
......

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