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Snowflake DEA-C01 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 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	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	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.

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Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q196-Q201):

NEW QUESTION # 196
What kind of Snowflake integration is required when defining an external function in Snowflake?

A. Security integration
B. HTTP integration
C. Notification integration
D. API integration

Answer: D

Explanation:
Explanation
An API integration is required when defining an external function in Snowflake. An API integration is a Snowflake object that defines how Snowflake communicates with an externalservice via HTTPS requests and responses. An API integration specifies parameters such as URL, authentication method, encryption settings, request headers, and timeout values. An API integration is used to create an external function object that invokes the external service from within SQL queries.

NEW QUESTION # 197
What are Invalid rules applicable when using stored procedure contains transaction?

A. If a transaction is started inside a stored procedure and is still active when the stored procedure finishes, then an error occurs, and the transaction is rolled back.
B. A transaction inside a stored procedure can include a call to another stored procedure that contains a transaction.
C. You cannot start a transaction before calling the stored procedure, then complete the transaction inside the stored procedure.
D. You cannot start a transaction inside the stored procedure, then complete the transac-tion after returning from the procedure.
E. A transaction can be inside a stored procedure, or a stored procedure can be inside a transaction.
F. All Rules are Applicable.

Answer: F

NEW QUESTION # 198
A secure function returns data coming through an inbound share
What will happen if a Data Engineer tries to assign usage privileges on this function to an outbound share?

A. An error will be returned because only secure functions can be shared with inbound shares
B. An error will be returned because the Engineer cannot share data that has already been shared
C. An error will be returned because only views and secure stored procedures can be shared
D. The Engineer will be able to share the secure function with other accounts

Answer: B

Explanation:
Explanation
An error will be returned because the Engineer cannot share data that has already been shared. A secure function is a Snowflake function that can access data from an inbound share, which is a share that is created by another account and consumed by the current account. A secure function can only be shared with an inbound share, not an outbound share, which is a share that is created by the current account and shared with other accounts. This is to prevent data leakage or unauthorized access to the data from the inbound share.

NEW QUESTION # 199
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 simple calculated field.
B. Create a level-aware calculation - window (LAC-W) function.
C. Create a level-aware calculation - aggregate (LAC-A) function.
D. Create a table calculation.

Answer: C

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 # 200
A company uses AWS Step Functions to orchestrate a data pipeline. The pipeline consists of Amazon EMR jobs that ingest data from data sources and store the data in an Amazon S3 bucket. The pipeline also includes EMR jobs that load the data to Amazon Redshift.
The company's cloud infrastructure team manually built a Step Functions state machine. The cloud infrastructure team launched an EMR cluster into a VPC to support the EMR jobs.
However, the deployed Step Functions state machine is not able to run the EMR jobs.
Which combination of steps should the company take to identify the reason the Step Functions state machine is not able to run the EMR jobs? (Choose two.)

A. Check the retry scenarios that the company configured for the EMR jobs. Increase the number of seconds in the interval between each EMR task. Validate that each fallback state has the appropriate catch for each decision state. Configure an Amazon Simple Notification Service (Amazon SNS) topic to store the error messages.
B. Check for entries in Amazon CloudWatch for the newly created EMR cluster. Change the AWS Step Functions state machine code to use Amazon EMR on EKS. Change the IAM access policies and the security group configuration for the Step Functions state machine code to reflect inclusion of Amazon Elastic Kubernetes Service (Amazon EKS).
C. Verify that the Step Functions state machine code has all IAM permissions that are necessary to create and run the EMR jobs. Verify that the Step Functions state machine code also includes IAM permissions to access the Amazon S3 buckets that the EMR jobs use. Use Access Analyzer for S3 to check the S3 access properties.
D. Query the flow logs for the VPC. Determine whether the traffic that originates from the EMR cluster can successfully reach the data providers. Determine whether any security group that might be attached to the Amazon EMR cluster allows connections to the data source servers on the informed ports.
E. Use AWS CloudFormation to automate the Step Functions state machine deployment. Create a step to pause the state machine during the EMR jobs that fail. Configure the step to wait for a human user to send approval through an email message. Include details of the EMR task in the email message for further analysis.

Answer: C,D

Explanation:
https://docs.aws.amazon.com/step-functions/latest/dg/procedure-create-iam-role.html
https://docs.aws.amazon.com/step-functions/latest/dg/service-integration-iam-templates.html

NEW QUESTION # 201
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