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| Certification Vendor: | Snowflake |
|---|---|
| Exam Name: | SnowPro Advanced: Data Engineer Certification Exam |
| Exam Number: | DEA-C01 |
| Available Languages: | English |
| Passing Score: | ~70% (exact passing score not publicly disclosed by Snowflake) |
| Certificate Validity Period: | 2 years (recertification required) |
| Real Exam Qty: | approximately 50 questions |
| Exam Price: | $375 USD |
| Exam Duration: | 90 minutes |
| Related Certifications: | SnowPro Core Certification (Recommended Prerequisite) |
| Exam Format: | Multiple Select, Multiple Choice |
| Sample Questions: | Snowflake DEA-C01 Sample Questions |
| Exam Way: | Online proctored exam (via Pearson VUE) or in-person testing center |
| Pre Condition: | SnowPro Core Certification is strongly recommended before attempting this advanced-level exam. Practical experience with Snowflake data engineering projects is essential. |
| Official Syllabus URL: | https://www.snowflake.com/certification/ |
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質問 # 102
Which output is provided by both theSYSTEM$CLUSTERING_DEPTHfunction and theSYSTEM$CLUSTERING_INFORMATIONfunction?
正解：D
解説：
Explanation
The output that is provided by both the SYSTEM$CLUSTERING_DEPTH function and the SYSTEM$CLUSTERING_INFORMATION function is average_depth. This output indicates the average number of micro-partitions that contain data for a given column value or combinationof column values. The other outputs are not common to both functions. The notes output is only provided by the SYSTEM$CLUSTERING_INFORMATION function and it contains additional information or recommendations about the clustering status of the table. The average_overlaps output is only provided by the SYSTEM$CLUSTERING_DEPTH function and it indicates the average number of micro-partitions that overlap with other micro-partitions for a given column value or combination of column values. The total_partition_count output is only provided by the SYSTEM$CLUSTERING_INFORMATION function and it indicates the total number of micro-partitions in the table.
質問 # 103
You can execute zero, one, or more transactions inside a stored procedure?
正解：B
質問 # 104
A retail company uses Amazon Aurora PostgreSQL to process and store live transactional data.
The company uses an Amazon Redshift cluster for a data warehouse.
An extract, transform, and load (ETL) job runs every morning to update the Redshift cluster with new data from the PostgreSQL database. The company has grown rapidly and needs to cost optimize the Redshift cluster.
A data engineer needs to create a solution to archive historical data. The data engineer must be able to run analytics queries that effectively combine data from live transactional data in PostgreSQL, current data in Redshift, and archived historical data. The solution must keep only the most recent 15 months of data in Amazon Redshift to reduce costs.
Which combination of steps will meet these requirements? (Choose two.)
正解：B、E
解説：
Choice A ensures that live transactional data from PostgreSQL can be accessed directly within Redshift queries.
Choice C archives historical data in Amazon S3, reducing storage costs in Redshift while still making the data accessible via Redshift Spectrum.
質問 # 105
A company is building an inventory management system and an inventory reordering system to automatically reorder products. Both systems use Amazon Kinesis Data Streams. The inventory management system uses the Amazon Kinesis Producer Library (KPL) to publish data to a stream. The inventory reordering system uses the Amazon Kinesis Client Library (KCL) to consume data from the stream. The company configures the stream to scale up and down as needed.
Before the company deploys the systems to production, the company discovers that the inventory reordering system received duplicated data.
Which factors could have caused the reordering system to receive duplicated data? (Choose two.)
正解：B、E
質問 # 106
A data engineer needs to onboard a new data producer into AWS. The data producer needs to migrate data products to AWS.
The data producer maintains many data pipelines that support a business application. Each pipeline must have service accounts and their corresponding credentials. The data engineer must establish a secure connection from the data producer's on-premises data center to AWS. The data engineer must not use the public internet to transfer data from an on-premises data center to AWS.
Which solution will meet these requirements?
正解：D
解説：
AWS Direct Connect provides a dedicated, private network connection between the on-premises data center and AWS, ensuring that data is not transferred over the public internet. This fulfills the requirement of secure, private connectivity.
AWS Secrets Manager securely stores, rotates, and manages access to sensitive information such as service account credentials, reducing the need to embed credentials in code or configuration files.
質問 # 107
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