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Test Databricks-Certified-Data-Engineer-Associate Study Guide - Databricks-Certified-Data-Engineer-Associate Reliable Test Topics

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Free PDF 2025 Databricks Newest Test Databricks-Certified-Data-Engineer-Associate Study Guide

The Databricks Certified Data Engineer Associate Exam Databricks-Certified-Data-Engineer-Associate certification provides both novices and experts with a fantastic opportunity to show off their knowledge of and proficiency in carrying out a particular task. With the Databricks Databricks-Certified-Data-Engineer-Associate exam, you will have the chance to update your knowledge while obtaining dependable evidence of your proficiency. You can also get help from actual Databricks Certified Data Engineer Associate Exam Databricks-Certified-Data-Engineer-Associate Exam Questions and pass your dream Databricks Certified Data Engineer Associate Exam Databricks-Certified-Data-Engineer-Associate certification exam.

The Databricks Certified Data Engineer Associate Exam certification exam is designed for data engineers, data analysts, and data scientists who build and maintain data pipelines using Databricks. Databricks-Certified-Data-Engineer-Associate Exam is intended to validate an individual's skills in data engineering and Databricks, enabling them to design and implement efficient data pipelines. Databricks Certified Data Engineer Associate Exam certification exam aims to test the candidate's knowledge of data processing and data modeling, as well as their ability to use Databricks to process large datasets.

Databricks Certified Data Engineer Associate Exam Sample Questions (Q25-Q30):

NEW QUESTION # 25
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?

A. They could redesign the data model to separate the data used in the final query into a new table.
B. They could only run the entire program on Sundays.
C. They could wrap the queries using PySpark and use Python's control flow system to determine when to run the final query.
D. They could automatically restrict access to the source table in the final query so that it is only accessible on Sundays.
E. They could submit a feature request with Databricks to add this functionality.

Answer: C

NEW QUESTION # 26
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. INSERT INTO my_table VALUES ('a1', 6, 9.4)
B. INSERT VALUES ( 'a1' , 6, 9.4) INTO my_table
C. my_table UNION VALUES ('a1', 6, 9.4)
D. UPDATE VALUES ('a1', 6, 9.4) my_table
E. UPDATE my_table VALUES ('a1', 6, 9.4)

Answer: A

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 # 27
Which of the following data workloads will utilize a Gold table as its source?

A. A job that aggregates uncleaned data to create standard summary statistics
B. A job that enriches data by parsing its timestamps into a human-readable format
C. A job that queries aggregated data designed to feed into a dashboard
D. A job that cleans data by removing malformatted records
E. A job that ingests raw data from a streaming source into the Lakehouse

Answer: C

NEW QUESTION # 28
Which of the following is hosted completely in the control plane of the classic Databricks architecture?

A. Worker node
B. Databricks Filesystem
C. Driver node
D. Databricks web application
E. JDBC data source

Answer: D

Explanation:
The Databricks web application is the user interface that allows you to create and manage workspaces, clusters, notebooks, jobs, and other resources. It is hosted completely in the control plane of the classic Databricks architecture, which includes the backend services that Databricks manages in your Databricks account. The other options are part of the compute plane, which is where your data is processed by compute resources such as clusters. The compute plane is in your own cloud account and network. References: Databricks architecture overview, Security and Trust Center

NEW QUESTION # 29
Which of the following describes the type of workloads that are always compatible with Auto Loader?

A. Machine learning workloads
B. Streaming workloads
C. Batch workloads
D. Serverless workloads
E. Dashboard workloads

Answer: B

Explanation:
Auto Loader is a Structured Streaming source that incrementally and efficiently processes new data files as they arrive in cloud storage. It supports both Python and SQL in Delta Live Tables, which are ideal for building streaming data pipelines. Auto Loader can handle near real-time ingestion of millions of files per hour and provide exactly-once guarantees when writing data into Delta Lake. Auto Loader is not designed for dashboard, machine learning, serverless, or batch workloads, which have different requirements and characteristics. Reference: What is Auto Loader?, Delta Live Tables

NEW QUESTION # 30
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