DEA-C01최고덤프문제최신버전덤프공부자료

우선 우리Itexamdump 사이트에서Snowflake DEA-C01관련자료의 일부 문제와 답 등 샘플을 제공함으로 여러분은 무료로 다운받아 체험해보실 수 있습니다.체험 후 우리의Itexamdump에 신뢰감을 느끼게 됩니다. Itexamdump에서 제공하는Snowflake DEA-C01덤프로 시험 준비하시면 편안하게 시험을 패스하실 수 있습니다.

Snowflake DEA-C01 시험요강:

주제	소개
주제 1	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.
주제 2	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.
주제 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.
주제 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.
주제 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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최신 SnowPro Advanced DEA-C01 무료샘플문제 (Q104-Q109):

질문 # 104
What is a characteristic of the use of binding variables in JavaScript stored procedures in Snowflake?

A. Only JavaScript variables of type number, string and sf Date can be bound
B. All Snowflake first-class objects can be bound
C. All types of JavaScript variables can be bound
D. Users are restricted from binding JavaScript variables because they create SQL injection attack vulnerabilities

정답：A

설명：
Explanation
A characteristic of the use of binding variables in JavaScript stored procedures in Snowflake is that only JavaScript variables of type number, string and sf Date can be bound. Binding variables are a way to pass values from JavaScript variables to SQL statements within a stored procedure. Binding variables can improve the security and performance of the stored procedure by preventing SQL injection attacks and reducing the parsing overhead. However, not all types of JavaScript variables can be bound. Only the primitive types number and string, and the Snowflake-specific type sf Date, can be bound. The other options are incorrect because they do not describe a characteristic of the use of binding variables in JavaScript stored procedures in Snowflake. Option A is incorrect because authenticator is not a type of JavaScript variable, but a parameter of the snowflake.connector.connect function. Option B is incorrect because arrow_number_to_decimal is not a type of JavaScript variable, but a parameter of the snowflake.connector.connect function. Option D is incorrect because users are not restricted from binding JavaScript variables, but encouraged to do so.

질문 # 105
A data engineer finished testing an Amazon Redshift stored procedure that processes and inserts data into a table that is not mission critical. The engineer wants to automatically run the stored procedure on a daily basis.
Which solution will meet this requirement in the MOST cost-effective way?

A. Create an AWS Lambda function to schedule a cron job to run the stored procedure.
B. Schedule and run the stored procedure by using the Amazon Redshift Data API in an Amazon EC2 Spot Instance.
C. Schedule an AWS Glue Python shell job to run the stored procedure.
D. Use query editor v2 to run the stored procedure on a schedule.

정답：D

설명：
https://docs.aws.amazon.com/redshift/latest/mgmt/query-editor-v2-schedule-query.html

질문 # 106
Can the same column be specified in both a Dynamic data masking policy signature and a row ac-cess policy signature at the same time?

A. YES
B. NO

정답：B

질문 # 107
Mark the incorrect statement when Data Engineer implement Automating Continuous Data Loading Using Cloud Messaging?

A. Triggering automated Snowpipe data loads using S3 event messages is supported by Snowflake accounts hosted on Cloud Platform like AWS, GCP or AZURE.
B. Automated Snowpipe uses event notifications to determine when new files arrive in monitored cloud storage and are ready to load.
C. Notifications identify the cloud storage event and include a list of the file names. They do not include the actual data in the files.
D. When a pipe is paused, event messages received for the pipe enter a limited retention period. The period is 14 days by default. If a pipe is paused for longer than 14 days, it is considered stale.

정답：A

설명：
Explanation
Triggering automated Snowpipe data loads using S3 event messages is supported by Snowflake ac-counts hosted on Amazon Web Services (AWS) only.
Rest is correct statements.

질문 # 108
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. 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.
B. 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.
C. 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.
D. 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.

정답：B

설명：
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.

질문 # 109
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성공을 위해 길을 찾고 실패를 위해 구실을 찾지 않는다는 말이 있습니다. Snowflake인증 DEA-C01시험이 영어로 출제되어 시험패스가 너무 어렵다 혹은 회사다니느라 공부할 시간이 없다는 등등은 모두 공부하기싫은 구실에 불과합니다. Itexamdump의 Snowflake인증 DEA-C01덤프만 마련하면 실패를 성공으로 바꿀수 있는 기적을 체험할수 있습니다.

DEA-C01최신 인증시험자료: https://www.itexamdump.com/DEA-C01.html