DEA-C01 Simulations Pdf, Detail DEA-C01 Explanation

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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 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	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 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.
Topic 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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Detail Snowflake DEA-C01 Explanation, DEA-C01 Study Demo

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Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q101-Q106):

NEW QUESTION # 101
A media company wants to build a real-time analytics pipeline to process customer activity events across the company's website and mobile app. The company wants to build a solution to ingest millions of events with minimum latency. The solution must be scalable and durable enough so that no data is lost. Which solution will meet these requirements in the MOST cost-effective way?

A. Deploy an Amazon Managed Streaming for Apache Kafka (Amazon MSK) cluster. Use self- managed consumers to process and distribute data in real-time. Integrate with Amazon Redshift for enhanced analytics.
B. Schedule an AWS Glue job to fetch user interaction logs every 10 minutes from Amazon S3.
Configure the AWS Glue job to transform and store the data in Amazon Redshift for analytics.
C. Set up an Amazon Kinesis Data Streams pipeline to ingest data, process the data by using AWS Lambda functions, and store the results in Amazon Redshift for analytics.
D. Configure Amazon S3 Event Notifications to invoke an AWS Lambda function to process every new interaction log file. Store the result in Amazon Redshift for analytics.

Answer: C

Explanation:
Amazon Kinesis Data Streams is built for durable, scalable, real-time ingestion of streaming events and can process data with very low latency at high volume. AWS documents that Kinesis Data Streams supports real-time stream processing and integrates directly with Amazon Redshift for streaming ingestion, which fits a pipeline handling millions of events without waiting for batch intervals. Using AWS Lambda for stream processing keeps the solution managed and cost- effective, while Amazon MSK would introduce higher cluster cost and operational complexity for this requirement.
Reference:
https://docs.aws.amazon.com/streams/latest/dev/introduction.html

NEW QUESTION # 102
Select the Correct statements with regard to using Federated authentication/SSO?

A. Snowflake supports using SSO with organizations, and you can use the corresponding URL in the SAML2 security integration.
B. Snowflake supports using MFA in conjunction with SSO to provide additional levels of security.
C. Snowflake supports SSO with Private Connectivity to the Snowflake Service for Snow-flake accounts on Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform.
D. Snowflake supports multiple audience values (i.e. Audience or Audience Restriction Fields) in the SAML 2.0 assertion from the identity provider to Snowflake.

Answer: A,B,C,D

NEW QUESTION # 103
Ryan, a Data Engineer, accidently drop the Share named SF_SHARE which results in immediate access revoke for all the consumers (i.e., accounts who have created a database from that SF_SHARE). What action he can take to recover the dropped Share?

A. A dropped share cannot be restored. The share must be created again using the CRE-ATE SHARE command and then configured using GRANT <privilege> ... TO SHARE and ALTER SHARE.
B. Consumer accounts that have created databases from the share will still be able to que-ry these databases as Share is separate securable object & it's still accessible using time travel feature.
C. By Executing UNDROP command he could possibly recover the dropped Share SF_SHARE & its associated Databases for immediate consumer access.
D. He can recreate a share with the same name as a previous share which does restore the databases created (by any consumers) from the share SF_SHARE.

Answer: A

Explanation:
Explanation
You can drop a share at any time using the DROP SHARE command.
Dropping a share instantly invalidates all databases created from the share by consumer accounts.
All queries and other operations performed on these databases will no longer work.
After dropping a share, you can recreate it with the same name;
however, this does not restore any of the databases created from the share by consumer accounts.
The recreated share is treated as a new share and all consumer accounts must create a new database from the new share.

NEW QUESTION # 104
Jackie, a Data engineer advised to his data team members about one of the Role highlighting fol-lows points:
1. Avoid Using the <?> Role for Automated Scripts
2. Avoid Using the <?> Role to Create Objects
Which System defined or Custom Role She is mentioning?

A. USERADMIN
B. SYSADMIN
C. CUSTOM Role
D. SECURITYADMIN
E. ACCOUNTADMIN

Answer: E

NEW QUESTION # 105
The smaller the average depth, the better clustered the table is with regards to the specified column?

A. FALSE
B. TRUE

Answer: B

NEW QUESTION # 106
......

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