Snowflake SnowPro Advanced DEA-C01

Snowflake DEA-C01 考試大綱：

參考：https://learn.snowflake.com/en/certifications/snowpro-advanced-dataengineer/

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最新的 SnowPro Advanced DEA-C01 免費考試真題：

問題 #1
In data modeling, an entity-relationship diagram (ERD) is primarily used to:

A. Cleanse dirty data.
B. Transform raw data into structured data.
C. Illustrate relationships between entities.
D. Store data in a physical location.

問題 #2
A company has a data pipeline that uses an Amazon RDS instance, AWS Glue jobs, and an Amazon S3 bucket. The RDS instance and AWS Glue jobs run in a private subnet of a VPC and in the same security group.
A user made a change to the security group that prevents the AWS Glue jobs from connecting to the RDS instance. After the change, the security group contains a single rule that allows inbound SSH traffic from a specific IP address.
The company must resolve the connectivity issue.
Which solution will meet this requirement?

A. Add an inbound rule that allows all TCP traffic on all TCP ports. Set the security group as the source.
B. Add an inbound rule that allows all TCP traffic on all UDP ports. Set the private IP address of the RDS instance as the source.
C. Add an inbound rule that allows all TCP traffic on all TCP ports. Set the DNS name of the RDS instance as the source.
D. Replace the source of the existing SSH rule with the private IP address of the RDS instance.Create an outbound rule with the same source, destination, and protocol as the inbound SSH rule.

問題 #3
A data engineer uses Amazon Kinesis Data Streams to ingest and process records that contain user behavior data from an application every day.
The data engineer notices that the data stream is experiencing throttling because hot shards receive much more data than other shards in the data stream.
How should the data engineer resolve the throttling issue?

A. Limit the number of records that are sent each second by the producer to match the capacity of the stream.
B. Decrease the size of the records that the producer sends to match the capacity of the stream.
C. Increase the number of shards in the data stream. Distribute the records across the shards.
D. Use a random partition key to distribute the ingested records.

問題 #4
A data engineer is processing and analyzing multiple terabytes of raw data that is in Amazon S3.
The data engineer needs to clean and prepare the data. Then the data engineer needs to load the data into Amazon Redshift for analytics.
The data engineer needs a solution that will give data analysts the ability to perform complex queries. The solution must eliminate the need to perform complex extract, transform, and load (ETL) processes or to manage infrastructure.
Which solution will meet these requirements with the LEAST operational overhead?

A. Use Amazon EMR to prepare the data. Use AWS Step Functions to load the data into Amazon Redshift. Use Amazon QuickSight to run queries.
B. Use AWS Glue to prepare the data. Use AWS Database Migration Service (AVVS DMS) to load the data into Amazon Redshift. Use Amazon Redshift Spectrum to run queries.
C. Use AWS Lambda to prepare the data. Use Amazon Kinesis Data Firehose to load the data into Amazon Redshift. Use Amazon Athena to run queries.
D. Use AWS Glue DataBrew to prepare the data. Use AWS Glue to load the data into Amazon Redshift. Use Amazon Redshift to run queries.

問題 #5
Pivoting in SQL is mainly used to transform data from:

A. Only one column to one row
B. One row to one column
C. Multiple rows into multiple columns
D. Multiple columns into multiple rows

問題與答案：