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  • Exam Name: Databricks Certified Data Analyst Associate Exam
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Databricks-Certified-Data-Analyst-Associate Questions and Answers

Question # 1

Which of the following statements about adding visual appeal to visualizations in the Visualization Editor is incorrect?

A.

Visualization scale can be changed.

B.

Data Labels can be formatted.

C.

Colors can be changed.

D.

Borders can be added.

E.

Tooltips can be formatted.

Question # 2

Which of the following is an advantage of using a Delta Lake-based data lakehouse over common data lake solutions?

A.

ACID transactions

B.

Flexible schemas

C.

Data deletion

D.

Scalable storage

E.

Open-source formats

Question # 3

After runningDESCRIBE EXTENDED accounts.customers;, the following was returned:

Databricks-Certified-Data-Analyst-Associate question answer

Now, a data analyst runs the following command:

DROP accounts.customers;

Which of the following describes the result of running this command?

A.

Running SELECT * FROM delta. `dbfs:/stakeholders/customers` results in an error.

B.

Running SELECT * FROM accounts.customers will return all rows in the table.

C.

All files with the .customers extension are deleted.

D.

The accounts.customers table is removed from the metastore, and the underlying data files are deleted.

E.

The accounts.customers table is removed from the metastore, but the underlying data files are untouched.

Question # 4

A data analyst is attempting to drop a table my_table. The analyst wants to delete all table metadata and data.

They run the following command:

DROP TABLE IF EXISTS my_table;

While the object no longer appears when they run SHOW TABLES, the data files still exist.

Which of the following describes why the data files still exist and the metadata files were deleted?

A.

The table's data was larger than 10 GB

B.

The table did not have a location

C.

The table was external

D.

The table's data was smaller than 10 GB

E.

The table was managed

Question # 5

In which of the following situations should a data analyst use higher-order functions?

A.

When custom logic needs to be applied to simple, unnested data

B.

When custom logic needs to be converted to Python-native code

C.

When custom logic needs to be applied at scale to array data objects

D.

When built-in functions are taking too long to perform tasks

E.

When built-in functions need to run through the Catalyst Optimizer

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