Snowflake DEA-C01: SnowPro Advanced: Data Engineer Certification Exam braindumps PDF & Testking echter Test

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Snowflake DEA-C01 Prüfungsplan:

Thema	Einzelheiten
Thema 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.
Thema 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.
Thema 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.
Thema 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.
Thema 5	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.

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DEA-C01 Prüfung & DEA-C01 Examsfragen

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Snowflake SnowPro Advanced: Data Engineer Certification Exam DEA-C01 Prüfungsfragen mit Lösungen (Q346-Q351):

346. Frage
A company is building data processing pipelines by using AWS Glue. The pipelines access data stored in Amazon S3. The company has organized the data into folders with prefixes that represent different classification levels. The company needs to restrict AWS Glue jobs to access only specific prefixes based on the data classification. The company must also restrict access to business hours (9 AM to 5 PM). Which elements must the company include in a custom IAM policy to meet these requirements?

A. A Resource element with S3 object Amazon Resource Name (ARN) patterns that use wildcards for each prefix and a Condition element that uses the aws:CurrentTime condition key with DateGreaterThan and DateLessThan operators
B. A Condition element that uses the s3:ResourceAccount condition key to restrict bucket access and a Deny statement that applies outside of business hours
C. A Condition element that uses the s3:prefix condition key to restrict folder access and aws:CurrentTime with DateGreaterThanEquals and DateLessThanEquals to restrict hours of operation
D. A Resource element with S3 object Amazon Resource Name (ARN) patterns that use wildcards for each prefix and a Condition element that uses the $util.time variable with TimeGreaterThan and TimeLessThan operators

Antwort: A

Begründung:
IAM policies can restrict access to specific S3 prefixes by defining object ARNs with wildcard patterns in the Resource element. Time-based access control is implemented using the aws:CurrentTime condition key with DateGreaterThan and DateLessThan operators to enforce business-hour access.

347. Frage
A data engineer is building a new data pipeline that stores metadata in an Amazon DynamoDB table. The data engineer must ensure that all items that are older than a specified age are removed from the DynamoDB table daily.
Which solution will meet this requirement with the LEAST configuration effort?

A. Create a DynamoDB stream that has an AWS Lambda function that reacts to data modifications.Configure the Lambda function to delete items that are older than the specified age.
B. Create an Amazon EventBridge rule that uses a daily cron expression to trigger an AWS Lambda function to delete items that are older than the specified age.
C. Enable DynamoDB TTL on the DynamoDB table. Adjust the application source code to set the TTL attribute appropriately.
D. Add a lifecycle configuration to the DynamoDB table that deletes items that are older than the specified age.

Antwort: C

Begründung:
DynamoDB Time to Live (TTL) is a fully managed feature that automatically expires and deletes items based on a timestamp attribute you define. By enabling TTL and setting the TTL attribute in the application code, items older than the specified age are removed without the need for custom scheduling or Lambda functions, offering the least configuration effort.

348. Frage
Streams cannot be created to query change data on which of the following objects? [Select All that Apply]

A. External tables
B. Views, including secure views
C. Directory tables
D. Query Log Tables
E. Standard tables, including shared tables.

Antwort: D

Begründung:
Explanation
Streams supports all the listed objects except Query Log tables.

349. Frage
A Data Engineer has developed a dashboard that will issue the same SQL select clause to Snowflake every 12 hours.
---will Snowflake use the persisted query results from the result cache provided that the underlying data has not changed

2026 Die neuesten ZertPruefung DEA-C01 PDF-Versionen Prüfungsfragen und DEA-C01 Fragen und Antworten sind kostenlos verfügbar: https://drive.google.com/open?id=1s535GLjmy9OFmQNs9lRnZ1vDkIQRcOhJ