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Snowflake DEA-C01 Exam Overview:

Certification Vendor:	Snowflake
Exam Name:	SnowPro Advanced: Data Engineer Certification Exam
Exam Number:	DEA-C01
Related Certifications:	SnowPro Core Certification (Recommended Prerequisite)
Exam Duration:	90 minutes
Certificate Validity Period:	2 years (recertification required)
Real Exam Qty:	approximately 50 questions
Passing Score:	~70% (exact passing score not publicly disclosed by Snowflake)
Exam Price:	$375 USD
Exam Format:	Multiple Choice, Multiple Select
Available Languages:	English
Sample Questions:	Snowflake DEA-C01 Sample Questions
Exam Way:	Online proctored exam (via Pearson VUE) or in-person testing center
Pre Condition:	SnowPro Core Certification is strongly recommended before attempting this advanced-level exam. Practical experience with Snowflake data engineering projects is essential.
Official Syllabus URL:	https://www.snowflake.com/certification/

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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	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 3	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 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	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.

Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q368-Q373):

NEW QUESTION # 368
A data engineer uploads confidential documents to an Amazon S3 bucket every day. The data engineer requires a solution to independently verify the integrity of all uploaded data to confirm that there was no corruption during the transfer process.
Which solution will meet this requirement?

A. Download a subset of the data after the data is uploaded to the S3 bucket. Manually validate the objects for integrity.
B. Calculate the SHA-256 checksum for the objects before uploading the objects. Pass the calculated value to the AWS SDK in each upload request.
C. Download the complete data after the data is uploaded to the S3 bucket. Programmatically validate the objects for integrity.
D. Change the default encryption on the S3 bucket to server-side encryption with customer-provided keys (SSE-C). Turn on S3 bucket keys to validate data integrity.

Answer: B

Explanation:
By calculating a checksum (e.g., SHA-256) before upload and providing it in the upload request, Amazon S3 verifies the checksum on receipt and rejects the upload if the data is corrupted. This provides automatic, independent validation of data integrity without requiring full data downloads.

NEW QUESTION # 369
A data engineer needs to use an Amazon QuickSight dashboard that is based on Amazon Athena queries on data that is stored in an Amazon S3 bucket. When the data engineer connects to the QuickSight dashboard, the data engineer receives an error message that indicates insufficient permissions.
Which factors could cause to the permissions-related errors? (Choose two.)

A. There is no IAM role assigned to QuickSight.
B. QuickSight does not have access to the S3 bucket.
C. There is no connection between QuickSight and Athena.
D. QuickSight does not have access to decrypt S3 data.
E. The Athena tables are not cataloged.

Answer: B,D

NEW QUESTION # 370
A company uses an Amazon Redshift cluster that runs on RA3 nodes. The company wants to scale read and write capacity to meet demand. A data engineer needs to identify a solution that will turn on concurrency scaling.
Which solution will meet this requirement?

A. Turn on concurrency scaling in the settings during the creation of any new Redshift cluster.
B. Turn on concurrency scaling at the workload management (WLM) queue level in the Redshift cluster.
C. Turn on concurrency scaling in workload management (WLM) for Redshift Serverless workgroups.
D. Turn on concurrency scaling for the daily usage quota for the Redshift cluster.

Answer: B

Explanation:
https://docs.aws.amazon.com/redshift/latest/dg/concurrency-scaling-queues.html

NEW QUESTION # 371
Snowflake does not provide which of following set of SQL functions to support retrieving infor-mation about tasks?

A. TASK_QUERY_HISTORY
B. SYSTEM$TASK_DEPENDENTS_ENABLE
C. SYSTEM$CURRENT_USER_TASK_NAME
D. TASK_DEPENDENTS
E. TASK_HISTORY

Answer: D

Explanation:
Explanation
SYSTEM$CURRENT_USER_TASK_NAME
Returns the name of the task currently executing when invoked from the statement or stored proce-dure defined by the task.
SYSTEM$TASK_DEPENDENTS_ENABLE
Recursively resumes all dependent tasks tied to a specified root task.
TASK_DEPENDENTS
This table function returns the list of child tasks for a given root task in a DAG of tasks.
TASK_HISTORY
This table function can be used to query the history of task usage within a specified date range.

NEW QUESTION # 372
Snowpipe loads data from files as soon as they are available in a stage. Automated data loads lever-age event notifications for cloud storage to inform Snowpipe of the arrival of new data files to load. Which Cloud hosted platform provides cross cloud support for automated data loading via Snow-pipe?

A. GCP
B. None of the Above currently provide cross cloud support for Snowpipe.
C. AZURE
D. AWS

Answer: D

Explanation:
Explanation
Cross-cloud support only available to accounts hosted on Amazon Web Services currently.

NEW QUESTION # 373
......

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