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Snowflake DEA-C01 Prüfungsplan:

Thema	Einzelheiten
Thema 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.
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	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 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 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.

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Snowflake SnowPro Advanced: Data Engineer Certification Exam DEA-C01 Prüfungsfragen mit Lösungen (Q264-Q269):

264. 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?

A. The AWS CloudTrail logs SendTaskFailure event in the CloudTrail/logs/preprocessing log group
B. The Lambda logs in the laws/lambda/preprocessing log group
C. The Step Functions TaskFailed event in the /aws/vendedlogs/states log group
D. The Step Functions TaskSucceeded event in the /aws/vendedlogs/states log group

Antwort: B

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.

265. Frage
An ecommerce company uses AWS Glue ETL to process and analyze orders. The company wants to build an extract, transform, and load (ETL) pipeline that processes placed, shipped, delivered, and canceled orders differently.
The company integrates the order processing system with Amazon EventBridge. The company configures EventBridge Scheduler rules for each order status to invoke different AWS Glue workflows. When the company examines Amazon CloudWatch metrics for the workflow, the company notices that the FailedInvocations metric shows a high value for canceled orders.
The company must determine the cause of the failed invocations.
Which solution will meet this requirement?

A. Configure a dead-letter queue in EventBridge Scheduler to store failed events. Analyze the failed order events.
B. Use the archive and replay features in EventBridge Scheduler to investigate the issue.
C. Change the retry policy in EventBridge Scheduler to increase the value for maximum age of event.
D. Change the retry policy in EventBridge Scheduler to reduce the value for maximum retries.

Antwort: A

266. Frage
A company stores historical customer data in an Amazon Redshift table. A column named Email contains null entries and values that are not email addresses. The quality of the Email column is critical for multiple downstream processes. A data engineer must create an AWS Glue Data Quality rule that fails when the percentage of valid email addresses in the Email column is less than 90%. Which component of an AWS Glue Data Quality rule will meet these requirements?

A. ColumnValues "Email" matches "[%@%.%]" with a threshold set to > 0.9
B. ColumnValues "Email" matches "[%@%.%]" with a threshold set to > 0.1
C. UniqueValueRatio "Email" matches "[%@%.%]" with a threshold set to > 0.1
D. Uniqueness "Email" matches "[%@%.%]" with a threshold set to > 0.9

Antwort: A

Begründung:
AWS Glue Data Quality uses the ColumnValues rule with pattern matching to validate that values conform to a required format, such as an email pattern. Setting the threshold to greater than 0.9 ensures that at least 90% of the values in the Email column match the expected email format, causing the rule to fail if data quality drops below this level.

267. Frage
A legal company is building a data pipeline to power an application that will handle peak traffic during business hours. The application will provide information about relevant laws and available lawyers. The legal document database will be updated one time each day.
The application must display up-to-date lawyer availability from a calendar database and provide complex full-text search of legal documents. The company wants to use AWS Glue for extract, transform, and load (ETL) processes. Lawyer availability information must be current within 5 minutes of any schedule changes.
Which solution will meet these requirements with the LEAST operational overhead?

A. Use AWS Step Functions to orchestrate AWS Glue jobs with time-based triggers and event-based triggers. Store processed data in Amazon S3. Use Amazon OpenSearch Service for full-text search capabilities.
B. Use AWS Glue workflows with time-based triggers and event-based triggers. Store processed data in Amazon DynamoDB. Create a custom search solution by using AWS Lambda functions.
C. Use AWS Step Functions to orchestrate AWS Glue jobs with time-based triggers and event-based triggers. Store processed data in Amazon S3. Use Amazon RDS for the search functionality.
D. Use Amazon EventBridge to schedule all AWS Glue jobs. Store processed data in Amazon RDS.Use Amazon Kendra for full-text search capabilities.

Antwort: A

Begründung:
Amazon OpenSearch Service is the AWS service in these choices that is purpose-built for complex full-text search of legal documents. AWS Glue can run ETL jobs, and AWS Step Functions can orchestrate both time-based and event-based processing so the daily legal document refresh and the frequent lawyer availability updates can be handled in one workflow pattern. This lets the company keep lawyer availability current within the required 5-minute window while using a managed search service and avoiding custom search implementation.

268. Frage
You as Data engineer might want to consider disabling auto-suspend for a warehouse if?

A. You require the warehouse to be available with delay.
B. You require the warehouse to be available with no delay or lag time.
C. You have a low, fluctuating workload for the warehouse.
D. You have a heavy, steady workload for the warehouse.

Antwort: B,D

Begründung:
Explanation
Automating Warehouse Suspension
Data Engineer might want to consider disabling auto-suspend for a warehouse if:
He/She have a heavy, steady workload for the warehouse.
He/She require the warehouse to be available with no delay or lag time. Warehouse provisioning is generally very fast (e.g. 1 or 2 seconds); however, depending on the size of the warehouse and the availability of compute resources to provision, it can take longer.
If he/she chose to disable auto-suspend, He/she must carefully consider the costs associated with running a warehouse continually, even when the warehouse is not processing queries. The costs can be significant, especially for larger warehouses (X-Large, 2X-Large, etc.).
To disable auto-suspend, Engineer must explicitly select Never in the web interface, or specify 0 or NULL in SQL.

269. Frage
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