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Snowflake DEA-C01 Exam Syllabus Topics:

Topic	Details
Topic 1	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.
Topic 2	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 3	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 4	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 5	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.

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Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q82-Q87):

NEW QUESTION # 82
A new customer table is created by a data pipeline in a Snowflake schema where MANAGED ACCESSenabled.
.... Can gran access to the CUSTOMER table? (Select THREE.)

A. The role that owns the schema
B. The USERADMIN role with the manage grants privilege
C. The SECURITYADMIN role
D. The SYSADMIN role
E. The role that owns the customer table
F. The role that owns the database

Answer: A,C,F

Explanation:
Explanation
The roles that can grant access to the CUSTOMER table are the role that owns the schema, the role that owns the database, and the SECURITYADMIN role. These roles have the ownership or the manage grants privilege on the schema or the database level, which allows them to grant access to any object within them. The other options are incorrect because they do not have the necessary privilege to grant access to the CUSTOMER table. Option C is incorrect because the role that owns the customer table cannot grant access to itself or to other roles. Option D is incorrect because the SYSADMIN role does not have the manage grants privilege by default and cannot grant access to objects that it does not own. Option F is incorrect because the USERADMIN role with the manage grants privilege can only grant access to users and roles, not to tables.

NEW QUESTION # 83
The following code is executed ina Snowflake environment with the default settings:

What will be the result of the select statement?

A. 1John
B. John
C. 0
D. SQL compilation error object CUSTOMER' does not exist or is not authorized.

Answer: C

NEW QUESTION # 84
What is a characteristic of the use of external tokenization?

A. Secure data sharing can be used with external tokenization
B. External tokenization allows (he preservation of analytical values after de-identification
C. Pre-loading of unmasked data is supported with external tokenization
D. External tokenization cannot be used with database replication

Answer: B

Explanation:
Explanation
External tokenization is a feature in Snowflake that allows users to replace sensitive data values with tokens that are generated and managed by an external service. External tokenization allows the preservation of analytical values after de-identification, such as preserving the format, length, or range of the original values.
This way, users can perform analytics on the tokenized data without compromising the security or privacy of the sensitive data.

NEW QUESTION # 85
A Data Engineer is working on a continuous data pipeline which receives data from Amazon Kinesis Firehose and loads the data into a staging table which will later be used in the data transformation process The average file size is 300-500 MB.
The Engineer needs to ensure that Snowpipe is performant while minimizing costs.
How can this be achieved?

A. Split the files before loading them andset the SIZE_LIMIT option to 250 MB.
B. Change the file compression size and increase the frequency of the Snowpipe loads
C. Decrease the buffer size to trigger delivery of files sized between 100 to 250 MB in Kinesis Firehose
D. Increase the size of the virtual warehouse used by Snowpipe.

Answer: A

Explanation:
Explanation
This option is the best way to ensure that Snowpipe is performant while minimizing costs. By splitting the files before loading them, the Data Engineer can reduce the size of each file and increase the parallelism of loading.
By setting the SIZE_LIMIT option to 250 MB, the Data Engineer can specify the maximum file size that can be loaded bySnowpipe, which can prevent performance degradation or errors due to large files. The other options are not optimal because:
Increasing the size of the virtual warehouse used by Snowpipe will increase the performance but also increase the costs, as larger warehouses consume more credits per hour.
Changing the file compression size and increasing the frequency of the Snowpipe loads will not have much impact on performance or costs, as Snowpipe already supports various compression formats and automatically loads files as soon as they are detected in the stage.
Decreasing the buffer size to trigger delivery of files sized between 100 to 250 MB in Kinesis Firehose will not affect Snowpipe performance or costs, as Snowpipe does not depend on Kinesis Firehose buffer size but rather on its own SIZE_LIMIT option.

NEW QUESTION # 86
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. He can Process data in smaller batches to manage workload.
C. Spilling do not have a profound effect on query performance (especially if remote disk is used for spilling).
D. Data Sharing can be helpful to improve query performance.

Answer: A,B

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 # 87
......

DEA-C01 PDF questions can be read on various smart devices such as laptops, tablets, and smartphones. Snowflake DEA-C01 PDF format is easier to download and use. Our Snowflake DEA-C01 exam questions in PDF file can be printed, making it easy to study via a hard copy. To be recognized by Snowflake DEA-C01 candidates must pass the SnowPro Advanced: Data Engineer Certification Exam (DEA-C01) exam and the registration fee for the exam is high, between $100 and $1000. Therefore, candidates will never risk their precious time and money.

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DEA-C01 New Braindumps Sheet | Valid Braindumps DEA-C01 Book

Snowflake DEA-C01 Exam Syllabus Topics:

100% Pass 2025 Snowflake DEA-C01: Trustable SnowPro Advanced: Data Engineer Certification Exam New Braindumps Sheet

Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q82-Q87):

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