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Snowflake DEA-C01 Prüfungsplan:

ThemaEinzelheiten
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
  • 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.
Thema 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.
Thema 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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DEA-C01 Buch - DEA-C01 Prüfungsmaterialien

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Snowflake SnowPro Advanced: Data Engineer Certification Exam DEA-C01 Prüfungsfragen mit Lösungen (Q146-Q151):

146. Frage
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?

Antwort: B

Begründung:
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.


147. Frage
Which are the two ways to access elements in a JSON object?

Antwort: A,C


148. Frage
A company has a data pipeline that processes transaction data in real time. The company needs a notification system that alerts different teams based on the type of processing error without any delay. For security-related errors, the system must immediately notify the security team. For data validation errors, the system must notify the data quality team. For system errors, the system must notify the operations team. Which solution will meet these requirements with the LEAST operational overhead?

Antwort: A

Begründung:
Amazon EventBridge is designed to route events based on matching rules and event patterns, so the company can classify each processing error type and immediately send it to the correct destination without custom routing code. By using separate EventBridge rules for security, data validation, and system errors and sending each to its own Amazon SNS topic, the solution stays fully managed, low latency, and operationally simpler than introducing Lambda logic, queue polling, or metric-based alarms.
Reference:
https://docs.aws.amazon.com/eventbridge/latest/userguide/eb-event-patterns.html
https://docs.aws.amazon.com/eventbridge/latest/userguide/eb-what-is.html
https://docs.aws.amazon.com/sns/latest/dg/welcome.html


149. Frage
A telecommunications company collects network usage data throughout each day at a rate of several thousand data points each second. The company runs an application to process the usage data in real time. The company aggregates and stores the data in an Amazon Aurora DB instance.
Sudden drops in network usage usually indicate a network outage. The company must be able to identify sudden drops in network usage so the company can take immediate remedial actions.
Which solution will meet this requirement with the LEAST latency?

Antwort: B


150. Frage
A company uses AWS Step Functions to orchestrate a data pipeline. The company has configured the Step Functions logs to push to Amazon CloudWatch Logs when the log level is FATAL The company has enabled logs for all AWS services in the pipeline.
A state named "preprocessing" invokes an AWS Lambda function named "preprocessing." The Lambda function preprocesses data before proceeding to the next state. The company needs to find error details if an error occurs during the data preprocessing.
Which CloudWatch Logs log group should the company check to find the error details?

Antwort: D

Begründung:
The actual error during data preprocessing occurs inside the AWS Lambda function execution.
Lambda automatically writes detailed execution logs, including errors and stack traces, to its CloudWatch Logs log group. Therefore, checking the Lambda log group provides the precise error details for the preprocessing failure.


151. Frage
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DEA-C01 Buch: https://www.zertpruefung.de/DEA-C01_exam.html

2026 Die neuesten Zertpruefung DEA-C01 PDF-Versionen Prüfungsfragen und DEA-C01 Fragen und Antworten sind kostenlos verfügbar: https://drive.google.com/open?id=1LThorUSjIamqk6CiTXkus6v4wyJ5KVPi