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The GAQM Databricks-Certified-Data-Engineer-Associate exam is a certification exam that tests the ability of individuals to design and implement data-driven solutions using Databricks. Databricks-Certified-Data-Engineer-Associate exam is designed for data engineers who want to demonstrate their proficiency in working with data and analytics technologies. Databricks-Certified-Data-Engineer-Associate Exam covers a range of topics, including data engineering, data modeling, data processing, and data analysis.
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Databricks Certified Data Engineer Associate Exam Sample Questions (Q38-Q43):
NEW QUESTION # 38
A data engineer is attempting to drop a Spark SQL table my_table. The data engineer 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 was external
- B. The table's data was larger than 10 GB
- C. The table's data was smaller than 10 GB
- D. The table was managed
- E. The table did not have a location
Answer: A
NEW QUESTION # 39
A data engineer is attempting to drop a Spark SQL table my_table and runs the following command:
DROP TABLE IF EXISTS my_table;
After running this command, the engineer notices that the data files and metadata files have been deleted from the file system.
Which of the following describes why all of these files were deleted?
- A. The table's data was larger than 10 GB
- B. The table's data was smaller than 10 GB
- C. The table was external
- D. The table did not have a location
- E. The table was managed
Answer: E
Explanation:
Explanation
managed tables files and metadata are managed by metastore and will be deleted when the table is dropped .
while external tables the metadata is stored in a external location. hence when a external table is dropped you clear off only the metadata and the files (data) remain.
NEW QUESTION # 40
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. INSERT INTO my_table VALUES ('a1', 6, 9.4)
- B. INSERT VALUES ( 'a1' , 6, 9.4) INTO my_table
- C. UPDATE my_table VALUES ('a1', 6, 9.4)
- D. my_table UNION VALUES ('a1', 6, 9.4)
- E. UPDATE VALUES ('a1', 6, 9.4) my_table
Answer: A
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 # 41
A data engineer has left the organization. The data team needs to transfer ownership of the data engineer's Delta tables to a new data engineer. The new data engineer is the lead engineer on the data team.
Assuming the original data engineer no longer has access, which of the following individuals must be the one to transfer ownership of the Delta tables in Data Explorer?
- A. New lead data engineer
- B. Workspace administrator
- C. This transfer is not possible
- D. Original data engineer
- E. Databricks account representative
Answer: B
Explanation:
The workspace administrator is the only individual who can transfer ownership of the Delta tables in Data Explorer, assuming the original data engineer no longer has access. The workspace administrator has the highest level of permissions in the workspace and can manage all resources, users, and groups. The other options are either not possible or not sufficient to perform the ownership transfer. The Databricks account representative is not involved in the workspace management. The transfer is possible and not dependent on the original data engineer. The new lead data engineer may not have the necessary permissions to access or modify the Delta tables, unless granted by the workspace administrator or the original data engineer before leaving. Reference: Workspace access control, Manage Unity Catalog object ownership.
NEW QUESTION # 42
A new data engineering team has been assigned to work on a project. The team will need access to database customers in order to see what tables already exist. The team has its own group team.
Which of the following commands can be used to grant the necessary permission on the entire database to the new team?
- A. GRANT CREATE ON DATABASE team TO customers;
- B. GRANT USAGE ON DATABASE customers TO team;
- C. GRANT USAGE ON CATALOG team TO customers;
- D. GRANT VIEW ON CATALOG customers TO team;
- E. GRANT CREATE ON DATABASE customers TO team;
Answer: B
NEW QUESTION # 43
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