高通過率的DEA-C01認證考試解析，高質量的考試資料幫助妳輕松通過DEA-C01考試

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Snowflake DEA-C01 Exam Overview:

Certification Vendor:	Snowflake
Exam Name:	SnowPro Advanced: Data Engineer Certification Exam
Exam Number:	DEA-C01
Exam Price:	$375 USD
Real Exam Qty:	approximately 50 questions
Exam Duration:	90 minutes
Exam Format:	Multiple Select, Multiple Choice
Available Languages:	English
Passing Score:	~70% (exact passing score not publicly disclosed by Snowflake)
Related Certifications:	SnowPro Core Certification (Recommended Prerequisite)
Certificate Validity Period:	2 years (recertification required)
Sample Questions:	Snowflake DEA-C01 Sample Questions
Exam Way:	Online proctored exam (via Pearson VUE) or in-person testing center
Pre Condition:	SnowPro Core Certification is strongly recommended before attempting this advanced-level exam. Practical experience with Snowflake data engineering projects is essential.
Official Syllabus URL:	https://www.snowflake.com/certification/

>> DEA-C01認證考試解析 <<

DEA-C01考試資料，DEA-C01最新考證

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Snowflake DEA-C01 考試大綱：

主題	簡介
主題 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.
主題 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.
主題 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.
主題 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.
主題 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.

最新的 SnowPro Advanced DEA-C01 免費考試真題 (Q96-Q101):

問題 #96
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 ACCOUNTS '<account ID 1>' AND '<account ID 2>';
B. GRANT USAGE ON DATASHARE salesshare TO ACCOUNT '<account ID 1>';
GRANT USAGE ON DATASHARE salesshare TO ACCOUNT '<account ID 2>';
C. GRANT USAGE ON DATASHARE salesshare TO NAMESPACES '<account ID 1>' AND
'<account ID 2>';
D. GRANT USAGE ON DATASHARE salesshare TO NAMESPACE '<account ID 1>';GRANT USAGE ON DATASHARE salesshare TO NAMESPACE '<account ID 2>';

答案：D

解題說明：
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.

問題 #97
A company stores employee data in Amazon Resdshift. A table names Employee uses columns named Region ID, Department ID, and Role ID as a compound sort key.
Which queries will MOST increase the speed of query by using a compound sort key of the table?
(Choose two.)

A. Select *from Employee where Region ID='North America';
B. Select *from Employee where Department ID=20 and Region ID='North America';
C. Select *from Employee where Role ID=50;
D. Select *from Employee where Region ID='North America' and Role ID=50;
E. Select *from Employee where Region ID='North America' and Department ID=20;

答案：D,E

解題說明：
To maximize the speed of queries by using the compound sort key (Region ID, Department ID, and Role ID) in the Employee table in Amazon Redshift, the queries should align with the order of the columns in the sort key.

問題 #98
Data Engineer Loading File named snowdata.tsv in the /datadir directory from his local machine to Snowflake stage and try to prefix the file with a folder named tablestage, please mark the correct command which helps him to load the files data into snowflake internal Table stage?

A. put file://c:\datadir\snowdata.tsv @%tablestage;
B. put file:///datadir/snowdata.tsv @%tablestage;
C. put file://c:\datadir\snowdata.tsv @tablestage;
D. put file://c:\datadir\snowdata.tsv @~/tablestage;

答案：A

解題說明：
Explanation
Execute PUT to upload (stage) local data files into an internal stage.
@% character combination identifies a table stage.

問題 #99
A data engineer uses Amazon Managed Workflows for Apache Airflow (Amazon MWAA) to run data pipelines in an AWS account.
A workflow recently failed to run. The data engineer needs to use Apache Airflow logs to diagnose the failure of the workflow.
Which log type should the data engineer use to diagnose the cause of the failure?

A. YourEnvironmentName-DAGProcessing
B. YourEnvironmentName-Scheduler
C. YourEnvironmentName-WebServer
D. YourEnvironmentName-Task

答案：D

解題說明：
When a workflow fails to run in Amazon MWAA, the task logs (YourEnvironmentName-Task) are the most relevant for diagnosing the issue. Task logs contain detailed information about the execution of individual tasks within the workflow, including any error messages or stack traces that can help pinpoint the cause of the failure.

問題 #100
A data engineer needs to schedule a workflow that runs a set of AWS Glue jobs every day. The data engineer does not require the Glue jobs to run or finish at a specific time.
Which solution will run the Glue jobs in the MOST cost-effective way?

A. Choose the STANDARD execution class in the Glue job properties.
B. Use the Spot Instance type in Glue job properties.
C. Choose the FLEX execution class in the Glue job properties.
D. Choose the latest version in the GlueVersion field in the Glue job properties.

答案：C

解題說明：
Flex allows you to optimize your costs on your non-urgent or non-time sensitive data integration workloads such as testing, and one-time data loads. With Flex, AWS Glue jobs run on spare compute capacity instead of dedicated hardware. The start and runtimes of jobs using Flex can vary because spare compute resources aren't readily available and can be reclaimed during the run of a job.
https://aws.amazon.com/blogs/big-data/introducing-aws-glue-flex-jobs-cost-savings-on-etl- workloads/

問題 #101
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