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To take the Databricks-Certified-Data-Engineer-Associate Exam, individuals must have a good understanding of data engineering concepts and experience working with Databricks. Databricks-Certified-Data-Engineer-Associate exam consists of multiple-choice questions that cover a wide range of topics, including data ingestion, data transformation, data storage, and data analysis. Candidates must score a passing grade to earn the certification.

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Databricks Certified Data Engineer Associate Exam Sample Questions (Q88-Q93):

NEW QUESTION # 88
A data engineer needs to create a table in Databricks using data from their organization's existing SQLite database.
They run the following command:

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

A. org.apache.spark.sql.sqlite
B. org.apache.spark.sql.jdbc
C. DELTA
D. autoloader
E. sqlite

Answer: E

Explanation:
1: In the given command, a data engineer is trying to create a table in Databricks using data from an SQLite database. The correct option to fill in the blank is "sqlite" because it specifies the type of database being connected to in a JDBC connection string. The USING clause should be followed by the format of the data, and since we are connecting to an SQLite database, "sqlite" would be appropriate here. Reference:
Create a table using JDBC
JDBC connection string
SQLite JDBC driver

NEW QUESTION # 89
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. UPDATE my_table VALUES ('a1', 6, 9.4)
B. UPDATE VALUES ('a1', 6, 9.4) my_table
C. INSERT VALUES ( 'a1' , 6, 9.4) INTO my_table
D. INSERT INTO my_table VALUES ('a1', 6, 9.4)
E. my_table UNION VALUES ('a1', 6, 9.4)

Answer: D

NEW QUESTION # 90
A data engineer is onboarding a new Bronze ingestion pipeline in Databricks with Unity Catalog. The team wants Databricks to handle storage layout, apply platform optimizations over time, and simplify lifecycle management so that when a table is dropped, its underlying data is also cleaned up according to Databricks- managed retention policies.
Which table type should the data engineer create for these ingestion tables?

A. Foreign tables federated from an external catalog to delegate optimization to the source system
B. Managed tables so that Unity Catalog manages both metadata and underlying data lifecycle
C. External tables with a LOCATION pointing to an external volume for full control of file layout
D. Temporary views over files to avoid table-level governance and lifecycle coupling

Answer: B

NEW QUESTION # 91
A data engineer has three tables in a Delta Live Tables (DLT) pipeline. They have configured the pipeline to drop invalid records at each table. They notice that some data is being dropped due to quality concerns at some point in the DLT pipeline. They would like to determine at which table in their pipeline the data is being dropped.
Which of the following approaches can the data engineer take to identify the table that is dropping the records?

A. They can set up DLT to notify them via email when records are dropped.
B. They cannot determine which table is dropping the records.
C. They can set up separate expectations for each table when developing their DLT pipeline.
D. They can navigate to the DLT pipeline page, click on the "Error" button, and review the present errors.
E. They can navigate to the DLT pipeline page, click on each table, and view the data quality statistics.

Answer: E

Explanation:
One of the features of DLT is that it provides data quality metrics for each dataset in the pipeline, such as the number of records that pass or fail expectations, the number of records that are dropped, and the number of records that are written to the target. These metrics can be accessed from the DLT pipeline page, where the data engineer can click on each table and view the data quality statistics for the latest update or any previous update. This way, they can identify which table is dropping the records and why. Reference:
Monitor Delta Live Tables pipelines
Manage data quality with Delta Live Tables

NEW QUESTION # 92
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. UPDATE my_table VALUES ('a1', 6, 9.4)
B. UPDATE VALUES ('a1', 6, 9.4) my_table
C. INSERT VALUES ( 'a1' , 6, 9.4) INTO my_table
D. INSERT INTO my_table VALUES ('a1', 6, 9.4)
E. my_table UNION VALUES ('a1', 6, 9.4)

Answer: D

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. Reference: 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 # 93
......

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