Exam DEA-C01 Question - DEA-C01 Exam Practice

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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	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 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	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 5	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.

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Snowflake DEA-C01 Exam Practice, Test DEA-C01 Prep

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Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q74-Q79):

NEW QUESTION # 74
Which of the following best describes the type of data found in traditional relational databases?

A. Semi-structured data
B. Unstructured data
C. Free-form data
D. Structured data

Answer: D

NEW QUESTION # 75
Steven created the task, what additional privileges required by Steven on the task so that he can suspend or resume the tasks?

A. Steven must have SUSPEND privilege on the task so that he can suspend or resume the task.
B. In addition to the task owner, a Steven Role must have OPERATE privilege on the task so that he can suspend or resume the task.
C. Steven needs to have Global Managed RESUME privilege by TASK administrator.
D. Steven is already owner of the task; he can execute the task & suspend/resume the task without any additional privileges.

Answer: B

Explanation:
Explanation
In addition to the task ownership privilege, a role that has the OPERATE privilege on the task can suspend or resume the task.

NEW QUESTION # 76
A company plans to provision a log delivery stream within a VPC. The company configured the VPC flow logs to publish to Amazon CloudWatch Logs. The company needs to send the flow logs to Splunk in near real time for further analysis.
Which solution will meet these requirements with the LEAST operational overhead?

A. Configure an Amazon Kinesis Data Streams data stream to use Splunk as the destination. Create a CloudWatch Logs subscription filter to send log events to the data stream.
B. Configure an Amazon Kinesis Data Streams data stream to use Splunk as the destination. Create an AWS Lambda function to send the flow logs from CloudWatch Logs to the data stream.
C. Create an Amazon Kinesis Data Firehose delivery stream to use Splunk as the destination. Create an AWS Lambda function to send the flow logs from CloudWatch Logs to the delivery stream.
D. Create an Amazon Kinesis Data Firehose delivery stream to use Splunk as the destination. Create a CloudWatch Logs subscription filter to send log events to the delivery stream.

Answer: D

Explanation:
Kinesis Data Firehose has built-in support for Splunk as a destination, making the integration straightforward. Using a CloudWatch Logs subscription filter directly to Firehose simplifies the data flow, eliminating the need for additional Lambda functions or custom integrations.

NEW QUESTION # 77
A company wants to use machine learning (ML) to perform analytics on data that is in an Amazon S3 data lake. The company has two data transformation requirements that will give consumers within the company the ability to create reports.
The company must perform daily transformations on 300 GB of data that is in a variety format that must arrive in Amazon S3 at a scheduled time. The company must perform one-time transformations of terabytes of archived data that is in the S3 data lake. The company uses Amazon Managed Workflows for Apache Airflow (Amazon MWAA) Directed Acyclic Graphs (DAGs) to orchestrate processing.
Which combination of tasks should the company schedule in the Amazon MWAA DAGs to meet these requirements MOST cost-effectively? (Choose two.)

A. For daily and archived data, use Amazon EMR to perform data transformations.
B. For archived data, use Amazon SageMaker to perform data transformations.
C. For daily incoming data, use AWS Glue crawlers to scan and identify the schema.
D. For daily incoming data, use Amazon Athena to scan and identify the schema.
E. For daily incoming data, use Amazon Redshift to perform transformations.

Answer: A,C

NEW QUESTION # 78
A data engineer has a one-time task to read data from objects that are in Apache Parquet format in an Amazon S3 bucket. The data engineer needs to query only one column of the data.
Which solution will meet these requirements with the LEAST operational overhead?

A. Use S3 Select to write a SQL SELECT statement to retrieve the required column from the S3 objects.
B. Run an AWS Glue crawler on the S3 objects. Use a SQL SELECT statement in Amazon Athena to query the required column.
C. Prepare an AWS Glue DataBrew project to consume the S3 objects and to query the required column.
D. Configure an AWS Lambda function to load data from the S3 bucket into a pandas dataframe.
Write a SQL SELECT statement on the dataframe to query the required column.

Answer: A

Explanation:
https://docs.aws.amazon.com/AmazonS3/latest/userguide/storage-inventory-athena-query.html S3 Select allows you to retrieve a subset of data from an object stored in S3 using simple SQL expressions. It is capable of working directly with objects in Parquet format.

NEW QUESTION # 79
......

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EXAM DEA-C01 QUESTION - DEA-C01 EXAM PRACTICE

Exam DEA-C01 Question - DEA-C01 Exam Practice