SNOWFLAKE DEA-C01 VALID TEST SAMPLE - DEA-C01 EXAM CRAM REVIEW

Snowflake DEA-C01 Valid Test Sample - DEA-C01 Exam Cram Review

Snowflake DEA-C01 Valid Test Sample - DEA-C01 Exam Cram Review

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Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q130-Q135):

NEW QUESTION # 130
As part of Table Designing, Data Engineer added a timestamp column that inserts the current timestamp as the default value as records are loaded into a table. The intent is to capture the time when eachrecord was loaded into the table; however, the timestamps are earlier than the LOAD_TIME column values returned by COPY_HISTORY view (Account Usage). What could be reason of this issue?

  • A. CURRENT_TIMESTAMP values might be different due to query gets executed in warehouse located in different region.
  • B. It might be possible that Cloud Provider hosted on Snowflake belongs to region having server time zone lagging Cluster time zone of warehouse where queries get processed & committed.
  • C. LOAD_TIME column values returned by COPY_HISTORY view (Account Usage) gives the same time as returned by CURRENT_TIMESTAMP.
  • D. The reason is, CURRENT_TIMESTAMP is evaluated when the load operation is com-piled in cloud services rather than when the record is inserted into the table (i.e. when the transaction for the load operation is committed).

Answer: D

Explanation:
Explanation
The reason timestamps are earlier than the LOAD_TIME column values which is returned by COPY_HISTORY view (Account Usage) is that CURRENT_TIMESTAMP is evaluated when the load operation is compiled in cloud services rather than when the record is inserted into the table (i.e. when the transaction for the load operation is committed).


NEW QUESTION # 131
When created, a stream logically takes an initial snapshot of every row in the source object and the contents of a stream change as DML statements execute on the source table.
A Data Engineer, Sophie Created a view that queries the table and returns the CURRENT_USER and CURRENT_TIMESTAMP values for the query transaction. A Stream has been created on views to capture CDC.
Tony, another user inserted the data e.g.
insert into <table> values (1),(2),(3);
Emily, another user also inserted the data e.g.
insert into <table> values (4),(5),(6);
What will happened when Different user queries the same stream after 1 hour?

  • A. All the 6 records would be shown with METADATA$ACTION as 'INSERT' out of which 3 records would be displayed with username 'Tony' & rest 3 records would be displayed with username 'Emily'.
  • B. All the Six records would be displayed with User 'Sohpie' Who is the owner of the View.
  • C. All the Six Records would be displayed with CURRENT_USER & CUR-RENT_TIMESTAMP while querying Streams.
  • D. User would be displayed with the one who queried during the session, but Recorded timestamp would be of past 1 hour i.e. actual records insertion time.

Answer: C

Explanation:
Explanation
When User queries the stream, the stream returns the username for the user. The stream also returns the current timestamp for the query transaction in each row, NOT the timestamp when each row was inserted.


NEW QUESTION # 132
A company stores logs in an Amazon S3 bucket. When a data engineer attempts to access several log files, the data engineer discovers that some files have been unintentionally deleted.
The data engineer needs a solution that will prevent unintentional file deletion in the future.
Which solution will meet this requirement with the LEAST operational overhead?

  • A. Manually back up the S3 bucket on a regular basis.
  • B. Enable S3 Versioning for the S3 bucket.
  • C. Configure replication for the S3 bucket.
  • D. Use an Amazon S3 Glacier storage class to archive the data that is in the S3 bucket.

Answer: B


NEW QUESTION # 133
Which are supported Programming Languages for Creating UDTFs?

  • A. Javascript
  • B. Perl
  • C. Python
  • D. Node.javascript
  • E. Java

Answer: A,C,E


NEW QUESTION # 134
Jonas, a Lead Performance Engineer,identifed that some of the operation of his query which func-tionally remove the duplicates from huge data set is spilling the data to remote disk. How can he alleviate spilling to a remote disk for better query performance?

  • A. Jonas can recommend using a large warehouse which effectively increase the available memory/local disk space for the operations.
  • B. Data Sharing can be helpful to improve query performance.
  • C. Spilling do not have a profound effect on query performance (especially if remote disk is used for spilling).
  • D. He can Process data in smaller batches to manage workload.

Answer: A,D

Explanation:
Explanation
For some operations (e.g. duplicate elimination for a huge data set), the amount of memory available for the compute resources used to execute the operation might not be sufficient to hold intermediate results. As a result, the query processing engine will start spilling the data to local disk. If the local disk space is not sufficient, the spilled data is then saved to remote disks.
This spilling can have a profound effect on query performance (especially if remote disk is used for spilling).
To alleviate this, It is recommend that:
Using a larger warehouse (effectively increasing the available memory/local disk space for the op-eration), and/or Processing data in smaller batches.


NEW QUESTION # 135
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