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Snowflake DEA-C01 Exam Overview:

Certification Vendor:	Snowflake
Exam Name:	SnowPro Advanced: Data Engineer Certification Exam
Exam Number:	DEA-C01
Real Exam Qty:	Approximately 65 questions
Passing Score:	Not publicly disclosed (Snowflake uses scaled scoring)
Related Certifications:	SnowPro Core Certification
Exam Format:	Multiple choice, Scenario-based questions, Multiple select
Exam Duration:	115 minutes
Certificate Validity Period:	2 years
Available Languages:	English
Exam Price:	$375 USD
Recommended Training:	SnowPro Advanced Data Engineer Exam Guide Snowflake University Training
Exam Registration:	Snowflake Certification Portal
Sample Questions:	Snowflake DEA-C01 Sample Questions
Exam Way:	Online proctored or authorized testing center
Pre Condition:	Recommended: SnowPro Core Certification or equivalent Snowflake experience
Official Syllabus URL:	https://www.snowflake.com/certifications/snowpro-advanced-data-engineer/

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Snowflake DEA-C01 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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 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.

Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q273-Q278):

NEW QUESTION # 273
A data engineer is using Amazon QuickSight to build a dashboard to report a company's revenue in multiple AWS Regions. The data engineer wants the dashboard to display the total revenue for a Region, regardless of the drill-down levels shown in the visual.
Which solution will meet these requirements?

A. Create a table calculation.
B. Create a level-aware calculation - aggregate (LAC-A) function.
C. Create a level-aware calculation - window (LAC-W) function.
D. Create a simple calculated field.

Answer: B

Explanation:
Level-Aware Calculations (LAC) in Amazon QuickSight allow users to create calculations that are independent of the levels of aggregation in a visual.
Specifically, the LAC-A (Aggregate) function lets you calculate metrics such as the total revenue for a region regardless of the drill-down levels displayed. This means that even if the user drills down into more granular data, the total revenue for the Region will still be displayed in the dashboard, meeting the requirements.
Table calculations are context-dependent, meaning they calculate values based on the visual's current granularity and drill-down levels. This would not meet the requirement to show total revenue regardless of drill-down.
A simple calculated field operates at the current visual's level of detail and would change as you drill down. It would not maintain the total revenue for a region regardless of drill-down.
LAC-W (Window) functions are typically used for running totals, moving averages, or ranking, which are calculated over a range of data but still affected by drill-down levels. This would not ensure the total revenue is displayed regardless of drill-down.

NEW QUESTION # 274
A company uses Amazon S3 to store data and Amazon QuickSight to create visualizations, The company has an S3 bucket in an AWS account named Hub-Account. The S3 bucket is encrypted by an AWS Key Management Service (AWS KMS) key. The company's QuickSight instance is in a separate account named BI-Account.
The company updates the S3 bucket policy to grant access to the QuickSight service role. The company wants to enable cross-account access to allow QuickSight to interact with the S3 bucket.
Which combination of steps will meet this requirement? (Choose two.)

A. Use AWS Resource Access Manager (AWS RAM) to share the S3 bucket with the BI-Account account.
B. Add the S3 bucket as a resource that the QuickSight service role can access.
C. Use the existing AWS KMS key to encrypt connections from QuickSight to the S3 bucket.
D. Add an IAM policy to the QuickSight service role to give QuickSight access to the KMS key that encrypts the S3 bucket.
E. Add the KMS key as a resource that the QuickSight service role can access.

Answer: E

NEW QUESTION # 275
A company stores customer records in Amazon S3. The company must not delete or modify the customer record data for 7 years after each record is created. The root user also must not have the ability to delete or modify the data.
A data engineer wants to use S3 Object Lock to secure the data.
Which solution will meet these requirements?

A. Place a legal hold on individual objects in the S3 bucket. Set the retention period to 7 years.
B. Enable compliance mode on the S3 bucket. Use a default retention period of 7 years.
C. Set the retention period for individual objects in the S3 bucket to 7 years.
D. Enable governance mode on the S3 bucket. Use a default retention period of 7 years.

Answer: B

Explanation:
Compliance Mode is the stricter mode of S3 Object Lock. When enabled, it ensures that no one, not even the root user, can modify or delete the object until the retention period expires. In this case, to meet the requirement of preventing any deletion or modification of the data for 7 years, compliance mode is the correct choice.
Governance Mode allows some users with special permissions (such as the root user) to override the lock and delete or modify the data, which does not meet the strict requirement that even the root user should not have this ability.
Legal Hold is used to prevent deletion of objects without specifying a time-based retention period, but it can be removed by users with sufficient permissions, and the root user might still be able to delete the data.
Retention Period for Individual Objects is possible, but enabling compliance mode provides a more robust solution by applying the same 7-year retention policy bucket-wide, ensuring that no modifications or deletions can occur during that period.

NEW QUESTION # 276
A retail company uses AWS Glue for extract, transform, and load (ETL) operations on a dataset that contains information about customer orders. The company wants to implement specific validation rules to ensure data accuracy and consistency.
Which solution will meet these requirements?

A. Use the built-in AWS Glue Data Quality transforms for standard data quality validations.
B. Create custom AWS Glue Data Quality rulesets to define specific data quality checks.
C. Use AWS Glue job bookmarks to track the data for accuracy and consistency.
D. Use AWS Glue Data Catalog to maintain a centralized data schema and metadata repository.

Answer: B

Explanation:
Custom AWS Glue Data Quality rulesets allow you to define precise data quality checks tailored to your specific needs, ensuring that the data meets the required standards of accuracy and consistency. This approach provides flexibility to implement a wide range of validation rules based on your business requirements.

NEW QUESTION # 277
A company stores customer data in an Amazon S3 bucket. The company must permanently delete all customer data that is older than 7 years. Which solution will meet this requirement?

A. Use Amazon Athena to query the S3 bucket for objects that are older than 7 years. Configure Athena to delete the results.
B. Configure an S3 Lifecycle policy to move objects that are older than 7 years to S3 Glacier Deep Archive.
C. Configure an S3 Lifecycle policy to enable S3 Object Lock on all objects that are older than 7 years.
D. Configure an S3 Lifecycle policy to permanently delete objects that are older than 7 years.

Answer: D

Explanation:
An S3 Lifecycle policy can automatically and permanently expire (delete) objects after they reach an age of 7 years, ensuring the data is removed without ongoing manual processes.

NEW QUESTION # 278
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