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Snowflake DEA-C01 Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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 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.

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

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.

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Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q208-Q213):

NEW QUESTION # 208
Which stages support external tables?

A. Internal stages only; within a single Snowflake account
B. internal stages only from any Snowflake account in the organization
C. External stages only, only on the same region and cloud provider as the Snowflake account
D. External stages only from any region, and any cloud provider

Answer: D

Explanation:
Explanation
External stages only from any region, and any cloud provider support external tables. External tables are virtual tables that can query data from files stored in external stages without loading them into Snowflake tables. External stages are references to locations outside of Snowflake, such as Amazon S3 buckets, Azure Blob Storage containers, or Google Cloud Storage buckets. External stages can be created from any region and any cloud provider, as long as they have a valid URL and credentials. The other options are incorrect because internal stages do notsupport external tables. Internal stages are locations within Snowflake that can store files for loading or unloading data. Internal stages can be user stages, table stages, or named stages.

NEW QUESTION # 209
A data engineer creates an AWS Lambda function that an Amazon EventBridge event will invoke.
When the data engineer tries to invoke the Lambda function by using an EventBridge event, an AccessDeniedException message appears.
How should the data engineer resolve the exception?

A. Ensure that both the IAM role that EventBridge uses and the Lambda function's resource-based policy have the necessary permissions.
B. Ensure that the subnet where the Lambda function is deployed is configured to be a private subnet.
C. Ensure that the trust policy of the Lambda function execution role allows EventBridge to assume the execution role.
D. Ensure that EventBridge schemas are valid and that the event mapping configuration is correct.

Answer: A

Explanation:
The lambda resource based policy must allow the events principle to invoke the lambda function.
Amazon SQS, Amazon SNS, Lambda, CloudWatch Logs, and EventBridge bus targets do not use roles, and permissions to EventBridge must be granted via a resource policy.
https://docs.aws.amazon.com/eventbridge/latest/userguide/eb-run-lambda-schedule.html#eb- schedule-create-rule
https://docs.aws.amazon.com/eventbridge/latest/userguide/eb-run-lambda-schedule.html#eb- schedule-create-rule

NEW QUESTION # 210
Two data engineering teams use separate AWS accounts. Both teams request access to the same datashare in an Amazon Redshift cluster that is in a third AWS account. The datashare is named salesshare.
A data engineer must use the Amazon Redshift SQL interface to grant both data engineering teams' access to the datashare.
Which command or commands will meet this requirement?

A. GRANT USAGE ON DATASHARE salesshare TO NAMESPACE '<account ID 1>';
GRANT USAGE ON DATASHARE salesshare TO NAMESPACE '<account ID 2>';
B. GRANT USAGE ON DATASHARE salesshare TO NAMESPACES '<account ID 1>' AND
'<account ID 2>';
C. GRANT USAGE ON DATASHARE salesshare TO ACCOUNT '<account ID 1>';
GRANT USAGE ON DATASHARE salesshare TO ACCOUNT '<account ID 2>';
D. GRANT USAGE ON DATASHARE salesshare TO ACCOUNTS '<account ID 1>' AND '<account ID 2>';

Answer: A

Explanation:
In Amazon Redshift data sharing, cross-account permissions for a datashare are granted to consumer cluster/serverless namespaces. Granting USAGE on the datashare to each consumer namespace enables both teams' Redshift environments in their respective accounts to create and query databases from the shared data.

NEW QUESTION # 211
External Function is a type of UDF & can be Scaler or Tabular?

A. FALSE
B. TRUE

Answer: A

Explanation:
Explanation
External functions must be scalar functions. A scalar external function returns a single value for each input row.

NEW QUESTION # 212
A data engineer configures a large number of AWS Glue jobs that all start up around the same time. All the jobs run for less than 1 hour in the same subnet of the same VPC. All the AWS Glue jobs run on a G1.X worker type.
Some of the jobs occasionally fail with the following error: "The specified subnet does not have enough free addresses to satisfy the request".
What is the likely root cause of the error?

A. The G1.X worker type cannot access the subnet.
B. There are not enough IP addresses in the VPC.
C. There are not enough IP addresses in the subnet.
D. AWS Glue does not have the correct IAM permissions to add additional IP addresses to the subnet.

Answer: C

Explanation:
Each AWS Glue worker requires an elastic network interface (ENI) and consumes an IP address in the subnet. When a large number of Glue jobs start simultaneously, the subnet can run out of available IP addresses. This causes the error "The specified subnet does not have enough free addresses." The root cause is insufficient IPs in the subnet, not the VPC overall.

NEW QUESTION # 213
......

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