Databricks-Certified-Data-Engineer-Associate Valid Study Plan & Databricks-Certified-Data-Engineer-Associate Frenquent Update

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The GAQM Databricks-Certified-Data-Engineer-Associate exam is a certification exam designed for data engineers who want to prove their proficiency in designing and building data pipelines using Databricks. The Databricks Certified Data Engineer Associate certification is highly valued in the data engineering industry and is recognized globally. Databricks Certified Data Engineer Associate Exam certification covers various topics related to data engineering, big data processing and analytics, and cloud computing using Databricks. Databricks Certified Data Engineer Associate Exam certification is ideal for data engineers who work with Databricks and want to advance their careers in data engineering.

Databricks-Certified-Data-Engineer-Associate Exam is an excellent certification for individuals who want to prove their proficiency in using the Databricks platform. Databricks-Certified-Data-Engineer-Associate Exam covers a wide range of topics that are crucial for a successful data engineer. Candidates who have passed Databricks-Certified-Data-Engineer-Associate exam are highly valued by employers since they possess the professional knowledge required to handle complex data engineering challenges.

Databricks Certified Data Engineer Associate Exam Sample Questions (Q20-Q25):

NEW QUESTION # 20
A data engineer wants to create a data entity from a couple of tables. The data entity must be used by other data engineers in other sessions. It also must be saved to a physical location.
Which of the following data entities should the data engineer create?

A. Temporary view
B. Database
C. Function
D. Table
E. View

Answer: D

Explanation:
1: A table is a data entity that is stored in a physical location and can be accessed by other data engineers in other sessions. A table can be created from one or more tables using the CREATE TABLE or CREATE TABLE AS SELECT commands. A table can also be registered from an existing DataFrame using the spark.catalog.createTable method. A table can be queried using SQL or DataFrame APIs. A table can also be updated, deleted, or appended using the MERGE INTO command or the DeltaTable API. Reference:
Create a table
Create a table from a query result
Register a table from a DataFrame
[Query a table]
[Update, delete, or merge into a table]

NEW QUESTION # 21
A data engineer needs to apply custom logic to identify employees with more than 5 years of experience in array column employees in table stores. The custom logic should create a new column exp_employees that is an array of all of the employees with more than 5 years of experience for each row. In order to apply this custom logic at scale, the data engineer wants to use the FILTER higher-order function.
Which of the following code blocks successfully completes this task?

A. Option E
B. Option B
C. Option D
D. Option A
E. Option C

Answer: D

NEW QUESTION # 22
Which of the following Structured Streaming queries is performing a hop from a Silver table to a Gold table?

Answer: E

Explanation:
The best practice is to use "Complete" as output mode instead of "append" when working with aggregated tables. Since gold layer is work final aggregated tables, the only option with output mode as complete is option E.

NEW QUESTION # 23
A single Job runs two notebooks as two separate tasks. A data engineer has noticed that one of the notebooks is running slowly in the Job's current run. The data engineer asks a tech lead for help in identifying why this might be the case.
Which of the following approaches can the tech lead use to identify why the notebook is running slowly as part of the Job?

A. There is no way to determine why a Job task is running slowly.
B. They can navigate to the Tasks tab in the Jobs UI and click on the active run to review the processing notebook.
C. They can navigate to the Runs tab in the Jobs UI to immediately review the processing notebook.
D. They can navigate to the Runs tab in the Jobs UI and click on the active run to review the processing notebook.
E. They can navigate to the Tasks tab in the Jobs UI to immediately review the processing notebook.

Answer: D

NEW QUESTION # 24
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?

Answer: A

Explanation:
Explanation
https://www.databricks.com/blog/2021/10/20/introducing-sql-user-defined-functions.html

NEW QUESTION # 25
......

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DATABRICKS-CERTIFIED-DATA-ENGINEER-ASSOCIATE VALID STUDY PLAN & DATABRICKS-CERTIFIED-DATA-ENGINEER-ASSOCIATE FRENQUENT UPDATE

Databricks-Certified-Data-Engineer-Associate Valid Study Plan & Databricks-Certified-Data-Engineer-Associate Frenquent Update