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Snowflake DEA-C01 Exam Syllabus Topics:

Topic	Details
Topic 1	Data Movement: Snowflake Data Engineers and Software Engineers are assessed on their proficiency to load, ingest, and troubleshoot data in Snowflake. It evaluates skills in building continuous data pipelines, configuring connectors, and designing data sharing solutions.
Topic 2	Storage and Data Protection: The topic tests the implementation of data recovery features and the understanding of Snowflake's Time Travel and micro-partitions. Engineers are evaluated on their ability to create new environments through cloning and ensure data protection, highlighting essential skills for maintaining Snowflake data integrity and accessibility.
Topic 3	Security: The Security topic of the DEA-C01 test covers the principles of Snowflake security, including the management of system roles and data governance. It measures the ability to secure data and ensure compliance with policies, crucial for maintaining secure data environments for Snowflake Data Engineers and Software Engineers.
Topic 4	Performance Optimization: This topic assesses the ability to optimize and troubleshoot underperforming queries in Snowflake. Candidates must demonstrate knowledge in configuring optimal solutions, utilizing caching, and monitoring data pipelines. It focuses on ensuring engineers can enhance performance based on specific scenarios, crucial for Snowflake Data Engineers and Software Engineers.
Topic 5	Data Transformation: The SnowPro Advanced: Data Engineer exam evaluates skills in using User-Defined Functions (UDFs), external functions, and stored procedures. It assesses the ability to handle semi-structured data and utilize Snowpark for transformations. This section ensures Snowflake engineers can effectively transform data within Snowflake environments, critical for data manipulation tasks.

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Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q77-Q82):

NEW QUESTION # 77
Data Engineer is looking out to delete staged files automatically/periodically when the data is suc-cessfully loaded into tables by the Snowpipe. For achieving the same, which options/command is best suited: [Select 2]

A. PURGE option can be set as True in the COPY INTO Command embedded in PIPE objects definition.
B. REMOVE_STAGE_FILES option can be set as True in the COPY INTO Command embedded in PIPE objects definition.
C. To remove staged files that no longer needed, periodically REMOVE command can be executed to delete the files.
D. To remove staged files that no longer needed, periodically DELETE command can be executed to delete the files.

Answer: A,C

Explanation:
Explanation
Deleting Staged Files After Snowpipe Loads the Data
Pipe objects do not support the PURGE copy option. Snowpipe cannot delete staged files automat-ically when the data is successfully loaded into tables.
To remove staged files that you no longer need, It is recommended to periodically executing the REMOVE command to delete the files.
Alternatively, configure any lifecycle management features provided by cloud storage service pro-vider.

NEW QUESTION # 78
A gaming company uses a NoSQL database to store customer information. The company is planning to migrate to AWS.
The company needs a fully managed AWS solution that will handle high online transaction processing (OLTP) workload, provide single-digit millisecond performance, and provide high availability around the world.
Which solution will meet these requirements with the LEAST operational overhead?

A. Amazon Timestream
B. Amazon Keyspaces (for Apache Cassandra)
C. Amazon DocumentDB (with MongoDB compatibility)
D. Amazon DynamoDB

Answer: D

NEW QUESTION # 79
Find out the odd one out:

A. 1. Bulk Data Load: Billed for the amount of time each virtual warehouse is active.
2. SnowPipe: Billed according to the compute resources used in the Snowpipe ware-house while loading the files.
B. 1. Bulk Data Load: Loads are always performed in a single transaction.
2. SnowPipe: Loads are combined or split into a single or multiple transactions based on the number and size of the rows in each data file.
C. 1. Bulk Data Load: Load history Stored in the metadata of the target table for 365 days.
2. SnowPipe: Load history Stored in the metadata of the pipe for 64 days.
D. 1. Bulk Data Load: Requires a user-specified warehouse to execute COPY statements.
2. SnowPipe: Uses Snowflake-supplied compute resources.

Answer: C

Explanation:
Explanation
Bulk data load
Load History Stored in the metadata of the target table for 64 days. Available upon completion of the COPY statement as the statement output.
Snowpipe
Load History Stored in the metadata of the pipe for 14 days. Must be requested from Snowflake via a REST endpoint, SQL table function, or ACCOUNT_USAGE view.
Rest are correct statements.

NEW QUESTION # 80
A Data Engineer has written a stored procedure that will run with caller's rights. The Engineer has granted ROLEA right to use this stored procedure.
What is a characteristic of the stored procedure being called using ROLEA?

A. ROLEA will not be able to see the source code for the stored procedure even though the role has usage privileges on the stored procedure
B. The stored procedure will run in the context (database and schema) where the owner created the stored procedure
C. The stored procedure must run with caller's rights it cannot be converted later to run with owner's rights
D. If the stored procedure accesses an object that ROLEA does not have access to the stored procedure will fail

Answer: D

Explanation:
Explanation
A stored procedure that runs with caller's rights executes with the privileges of the role that calls it. Therefore, if the stored procedure accesses an object that ROLEA does not have access to, such as a table or a view, the stored procedure will fail with an insufficient privileges error. The other options are not correct because:
A stored procedure can be converted from caller's rights to owner's rights by using the ALTER PROCEDURE command with the EXECUTE AS OWNER option.
A stored procedure that runs with caller's rights executes in the context (database and schema) of the caller, not the owner.
ROLEA will be able to see the source code for the stored procedure by using the GET_DDL function or the DESCRIBE command, as long as it has usage privileges on the stored procedure.

NEW QUESTION # 81
A company is using Snowpipe to bring in millions of rows every day of Change Data Capture (CDC) into a Snowflake staging table on a real-time basis The CDC needs to get processedand combined with other data in Snowflake and land in a final table as part of the full data pipeline.
How can a Data engineer MOST efficiently process the incoming CDC on an ongoing basis?

A. Create a stream on the staging table and schedule a task that transforms data from the stream only when the stream has data.
B. Use a create ok replace table as statement that references the staging table and includes all the transformation SQL. Use a task to run the full create or replace table as statement on a scheduled basis
C. Transform the data during the data load with Snowpipe by modifying the related copy into statement to include transformation steps such as case statements andJOIN'S.
D. Schedule a task that dynamically retrieves the last time the task was run from information_schema-rask_hiSwOry and use that timestamp to process the delta of the new rows since the last time the task was run.

Answer: A

Explanation:
Explanation
The most efficient way to process the incoming CDC on an ongoing basis is to create a stream on the staging table and schedule a task that transforms data from the stream only when the stream has data. A stream is a Snowflake object that records changes made to a table, such as inserts, updates, or deletes. A stream can be queried like a table and can provide information about what rows have changed since the last time the stream was consumed. A task is a Snowflake object that can execute SQL statements on a schedule without requiring a warehouse. A task can be configured to run only when certain conditions are met, such as when a stream has data or when another task has completed successfully. By creating a stream on the staging table and scheduling a task that transforms data from the stream, the Data Engineer can ensure that only new or modified rows are processed and that no unnecessary computations are performed.

NEW QUESTION # 82
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Free PDF The Best DEA-C01 - SnowPro Advanced: Data Engineer Certification Exam Valuable Feedback

Snowflake DEA-C01 Exam Syllabus Topics:

DEA-C01 Latest Test Report, Latest DEA-C01 Test Simulator

Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q77-Q82):

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