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Databricks Databricks-Certified-Data-Engineer-Associate Exam Syllabus Topics:

Section	Objectives
Topic 1: Productionizing Data Pipelines	- Pipeline deployment and operationalization - Databricks Workflows / Jobs orchestration - Scheduling and monitoring jobs
Topic 2: Data Governance and Quality	- Unity Catalog basics - Data access control and governance - Data quality concepts and management
Topic 3: Data Processing and Transformations	- Apache Spark SQL operations (joins, aggregations, filtering) - Delta Lake fundamentals (tables, transactions, optimization) - User-defined functions (UDFs) - PySpark DataFrame transformations
Topic 4: Databricks Lakehouse Platform Fundamentals	- Clusters, notebooks, and basic Databricks environment usage - Workspace, architecture, and core platform concepts
Topic 5: Data Ingestion and ELT Development	- Handling structured and semi-structured data - Data ingestion using Spark SQL and PySpark - ETL patterns and transformations

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Databricks Certified Data Engineer Associate Exam Sample Questions (Q23-Q28):

NEW QUESTION # 23
Which of the following must be specified when creating a new Delta Live Tables pipeline?

A. The preferred DBU/hour cost
B. A location of a target database for the written data
C. A key-value pair configuration
D. A path to cloud storage location for the written data
E. At least one notebook library to be executed

Answer: E

Explanation:
Option E is the correct answer because it is the only mandatory requirement when creating a new Delta Live Tables pipeline. A pipeline is a data processing workflow that contains materialized views and streaming tables declared in Python or SQL source files. Delta Live Tables infers the dependencies between these tables and ensures updates occur in the correct order. To create a pipeline, you need to specify at least one notebook library to be executed, which contains the Delta Live Tables syntax. You can also specify multiple libraries of different languages within your pipeline. The other options are optional or not applicable for creating a pipeline. Option A is not required, but you can optionally provide a key-value pair configuration to customize the pipeline settings, such as the storage location, the target schema, the notifications, and the pipeline mode.
Option B is not applicable, as the DBU/hour cost is determined by the cluster configuration, not the pipeline creation. Option C is not required, but you can optionally specify a storage location for the output data from the pipeline. If you leave it empty, the system uses a default location. Option D is not required, but you can optionally specify a location of a target database for the written data, either in the Hive metastore or the Unity Catalog.
Tutorial: Run your first Delta Live Tables pipeline, What is Delta Live Tables?, Create a pipeline, Pipeline configuration.

NEW QUESTION # 24
A data engineer needs to create a table in Databricks using data from a CSV file at location /path/to/csv.
They run the following command:

Which of the following lines of code fills in the above blank to successfully complete the task?

A. None of these lines of code are needed to successfully complete the task
B. FROM "path/to/csv"
C. USING CSV
D. FROM CSV
E. USING DELTA

Answer: C

NEW QUESTION # 25
A data engineer has written a function in a Databricks Notebook to calculate the population of bacteria in a given medium.

Analysts use this function in the notebook and sometimes provide input arguments of the wrong data type, which can cause errors during execution.
Which Databricks feature will help the data engineer quickly identify if an incorrect data type has been provided as input?

A. The Spark User interface has a debug tab that contains the variables that are used in this session.
B. The Databricks debugger enables the use of a variable explorer to see at a glance the value of the variables.
C. The Databricks debugger enables breakpoints that will raise an error if the wrong data type is submitted.
D. The Data Engineer should add print statements to find out what the variable is.

Answer: C

Explanation:
The Databricks debugger supports setting breakpoints that pause execution and allow inspection of variables. If the wrong data type is passed to the function, the debugger raises an error at runtime, helping the engineer quickly identify the issue.

NEW QUESTION # 26
A data engineer that is new to using Python needs to create a Python function to add two integers together and return the sum?
Which of the following code blocks can the data engineer use to complete this task?

Answer: C

Explanation:
Explanation
https://www.w3schools.com/python/python_functions.asp

NEW QUESTION # 27
A new data engineering team team has been assigned to an ELT project. The new data engineering team will need full privileges on the table sales to fully manage the project.
Which command can be used to grant full permissions on the database to the new data engineering team?

A. grant all privileges on table sales TO team;
B. GRANT SELECT ON TABLE sales TO team;
C. GRANT ALL PRIVILEGES ON TABLE team TO sales;
D. GRANT SELECT CREATE MODIFY ON TABLE sales TO team;

Answer: A

NEW QUESTION # 28
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