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Databricks Certified Data Engineer Associate Exam Sample Questions (Q47-Q52):

NEW QUESTION # 47
A data analysis team has noticed that their Databricks SQL queries are running too slowly when connected to their always-on SQL endpoint. They claim that this issue is present when many members of the team are running small queries simultaneously. They ask the data engineering team for help. The data engineering team notices that each of the team's queries uses the same SQL endpoint.
Which of the following approaches can the data engineering team use to improve the latency of the team's queries?

  • A. They can turn on the Serverless feature for the SQL endpoint and change the Spot Instance Policy to "Reliability Optimized."
  • B. They can increase the cluster size of the SQL endpoint.
  • C. They can increase the maximum bound of the SQL endpoint's scaling range.
  • D. They can turn on the Auto Stop feature for the SQL endpoint.
  • E. They can turn on the Serverless feature for the SQL endpoint.

Answer: D

Explanation:
https://community.databricks.com/t5/data-engineering/sequential-vs-concurrency-optimization-questions-from-query/td-p/36696


NEW QUESTION # 48
Which of the following tools is used by Auto Loader process data incrementally?

  • A. Checkpointing
  • B. Unity Catalog
  • C. Spark Structured Streaming
  • D. Data Explorer
  • E. Databricks SQL

Answer: C


NEW QUESTION # 49
Which of the following can be used to simplify and unify siloed data architectures that are specialized for specific use cases?

  • A. Data lakehouse
  • B. Data lake
  • C. Data warehouse
  • D. All of these
  • E. None of these

Answer: A

Explanation:
A data lakehouse is a new paradigm that can be used to simplify and unify siloed data architectures that are specialized for specific use cases. A data lakehouse combines the best of both data lakes and data warehouses, providing a single platform that supports diverse data types, open standards, low-cost storage, high-performance queries, ACID transactions, schema enforcement, and governance. A data lakehouse enables data engineers to build reliable and scalable data pipelines that can serve various downstream applications and users, such as data science, machine learning, analytics, and reporting. A data lakehouse leverages the power of Delta Lake, a storage layer that brings reliability and performance to data lakes. Reference: What is a data lakehouse?, Delta Lake, Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics


NEW QUESTION # 50
Which two components function in the DB platform architecture's control plane? (Choose two.)

  • A. Virtual Machines
  • B. Compute
  • C. Unity Catalog
  • D. Serverless Compute
  • E. Compute Orchestration

Answer: C,E


NEW QUESTION # 51
Identify how the count_if function and the count where x is null can be used Consider a table random_values with below data.
What would be the output of below query?
select count_if(col > 1) as count_
a. count(*) as count_b.count(col1) as count_c from random_values col1
0
1
2
NULL -
2
3

  • A. 3 6 5
  • B. 4 6 6
  • C. 4 6 5
  • D. 3 6 6

Answer: A


NEW QUESTION # 52
......

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