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Snowflake DEA-C01 Exam Syllabus Topics:

TopicDetails
Topic 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.
Topic 2
  • 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 3
  • 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 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
  • 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 Sample Questions (Q358-Q363):

NEW QUESTION # 358
External Function is a type of UDF & can be Scaler or Tabular?

Answer: A

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


NEW QUESTION # 359
A company stores objects in an Amazon S3 bucket. The company crawls the objects so that Amazon Athena can query the data.
A data engineer manually moved all objects from the partition with a path prefix of status=01 to the prefix status=02. The status=01 partition location is now empty. However, the status=01 partition location still appears in the AWS Glue Data Catalog metadata.
Which Athena command should the data engineer run to resolve the metadata discrepancy?

Answer: C

Explanation:
When data is manually moved and a partition location becomes empty, the AWS Glue Data Catalog still retains the old partition metadata. To resolve this discrepancy, the partition must be explicitly removed from the table metadata. The appropriate command deletes the outdated partition entry so that Athena reflects the current data layout.


NEW QUESTION # 360
A company uses Amazon EMR as an extract, transform, and load (ETL) pipeline to transform data that comes from multiple sources. A data engineer must orchestrate the pipeline to maximize performance.
Which AWS service will meet this requirement MOST cost effectively?

Answer: A

Explanation:
Glue Workflows is for Glue job orchestration. C is for orchestration with different AWS services.


NEW QUESTION # 361
A retail company wants to implement real-time analytics for an ecommerce platform. The company needs to collect clickstream data from the company's website and mobile apps. The company needs to store the data for analytics. Which solution will meet these requirements with the LEAST ongoing maintenance?

Answer: A

Explanation:
Amazon Kinesis Data Streams is well suited to collect high-volume real-time clickstream data from websites and mobile apps, and Amazon Data Firehose can then deliver that streaming data to Amazon S3 with very little operational effort. This approach is highly managed and avoids the ongoing administration required for EC2-based collectors, self-managed Kafka patterns, or maintaining a provisioned Redshift cluster for raw landing storage.
Reference:
https://docs.aws.amazon.com/firehose/latest/dev/what-is-this-service.html
https://docs.aws.amazon.com/firehose/latest/dev/basic-deliver.html


NEW QUESTION # 362
An IT firm is planning to use AWS Lake Formation to allow third-party services to integrate with Lake Formation and gain temporary access to all data stored in Amazon S3. The Project Team is looking for simplified data access and needs to ensure there is no performance impact while accessing data.
What solution can be implemented?

Answer: A

Explanation:
AWS Lake Formation allows third-party services and applications to integrate with Lake Formation and gain temporary access to the data stored in the Amazon S3. For using AWS Lake Formation for third-party services integration, the following steps are performed, Set up user access in Lake Formation and register Amazon S3 location.
User access data using one of the integrated services.
Services request data access credentials for the specific table or partition and a specific principal.
Lake Formation grants temporary access, and users can access data on Amazon S3.
There are two options to authorize Lake Formation to integrate with third-party services and applications.
Reference:
https://docs.aws.amazon.com/lake-formation/latest/dg/using-cred-vending.html


NEW QUESTION # 363
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