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The Databricks Databricks-Certified-Data-Engineer-Associate Exam consists of 60 multiple-choice questions and is designed to test your understanding of Databricks concepts, including data engineering, data processing, data storage, and data analysis. To pass the exam, you must score at least 70%. Databricks-Certified-Data-Engineer-Associate exam can be taken online and is available in several languages, including English, Spanish, and Chinese. Upon passing the exam, you will receive a Databricks Certified Data Engineer Associate certification, which is recognized globally as a mark of expertise in big data processing using Databricks.

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The GAQM Databricks-Certified-Data-Engineer-Associate (Databricks Certified Data Engineer Associate) Exam is a certification exam that is designed for people who are interested in mastering the skills required for data engineering using the Databricks platform. Databricks Certified Data Engineer Associate Exam certification is globally recognized and is highly valued by employers since it proves that the certified individual has the knowledge and skills required to work with Databricks.

Databricks Certified Data Engineer Associate Exam Sample Questions (Q130-Q135):

NEW QUESTION # 130
A data engineer wants to analyze historical versions of a Delta table to debug a data quality issue. The engineer needs to query the table as it existed two days ago. Which Delta Lake feature allows querying older snapshots of a table?

Answer: D


NEW QUESTION # 131
A data engineer has configured a Structured Streaming job to read from a table, manipulate the data, and then perform a streaming write into a new table.
The code block used by the data engineer is below:

The data engineer only wants the query to process all of the available data in as many batches as required.
Which line of code should the data engineer use to fill in the blank?

Answer: D


NEW QUESTION # 132
A data engineer wants to create a new table containing the names of customers who live in France.
They have written the following command:
CREATE TABLE customersInFrance
_____ AS
SELECT id,
firstName,
lastName
FROM customerLocations
WHERE country = 'FRANCE';
A senior data engineer mentions that it is organization policy to include a table property indicating that the new table includes personally identifiable information (Pll).
Which line of code fills in the above blank to successfully complete the task?

Answer: A

Explanation:
To include a property indicating that a table contains personally identifiable information (PII), the TBLPROPERTIES keyword is used in SQL to add metadata to a table. The correct syntax to define a table property for PII is as follows:
CREATE TABLE customersInFrance
USING DELTA
TBLPROPERTIES ('PII' = 'true')
AS
SELECT id,
firstName,
lastName
FROM customerLocations
WHERE country = 'FRANCE';
The TBLPROPERTIES ('PII' = 'true') line correctly sets a table property that tags the table as containing personally identifiable information. This is in accordance with organizational policies for handling sensitive information.


NEW QUESTION # 133
A company uses Delta Sharing to collaborate with partners across different cloud providers and geographic regions. What will result in additional costs due to cross-region or egress fees?

Answer: D

Explanation:
Transferring data via Delta Sharing across clouds and across different geographic regions incurs additional costs because cloud providers charge cross-region and egress fees when data leaves a region or moves between providers.


NEW QUESTION # 134
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?

Answer: C

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 # 135
......

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