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NEW QUESTION # 850
Which command should be used to assign a key to a Snowflake user who needs to connect using key pair authentication?
Answer: D
Explanation:
To use key pair authentication in Snowflake, you need to set the public key for the user. This allows the user to authenticate using their private key.
Generate Key Pair: Generate a public and private key pair.
Set Public Key:
ALTER USER jsmith SET RSA_PUBLIC_KEY='MIIBIjANBgkqh...';
Authentication: The user can now authenticate by signing requests with the corresponding private key.
Reference:
Snowflake Documentation: Key Pair Authentication & Key Rotation
Snowflake Documentation: ALTER USER
NEW QUESTION # 851
Which task is supported by the use of Access History in Snowflake?
Answer: B
Explanation:
Access History in Snowflake is primarily utilized for compliance auditing. The Access History feature provides detailed logs that track data access and modifications, including queries that read from or write to database objects. This information is crucial for organizations to meet regulatory requirements and to perform audits related to data access and usage.
* Role of Access History: Access History logs are designed to help organizations understand who accessed what data and when. This is particularly important for compliance with various regulations that require detailed auditing capabilities.
* How Access History Supports Compliance Auditing:
* By providing a detailed log of access events, organizations can trace data access patterns, identify unauthorized access, and ensure that data handling complies with relevant data protection laws and regulations.
* Access History can be queried to extract specific events, users, time frames, and accessed objects, making it an invaluable tool for compliance officers and auditors.
Reference: For more information on how Access History supports compliance auditing, refer to the Snowflake documentation on Access History: https://docs.snowflake.com/en/sql-reference/account-usage
/access_history.html
NEW QUESTION # 852
What operations can be performed while loading a simple CSV file into a Snowflake table using the COPY INTO command? (Select TWO).
Answer: B,D
Explanation:
When loading a simple CSV file into a Snowflake table using the COPY INTO command, you can perform various transformations and adjustments on the data as part of the loading process. Specifically, you can:
* B. Reorder the columns: Specify the order of columns in the COPY INTO command to match the structure of the target table if it differs from the order of columns in the source CSV file.
* D. Convert the datatypes: Explicitly convert the datatypes of the data being loaded to match the datatypes of the columns in the target table. This can be necessary when the source data's format does not match the target table's expected datatype.
References:
* Snowflake Documentation: Using the COPY INTO Command for Data Loading
NEW QUESTION # 853
Which of the following indicates that it may be appropriate to use a clustering key for a table? (Select TWO).
Answer: D,E
Explanation:
A clustering key in Snowflake is used to co-locate similar data within the same micro-partitions to improve query performance, especially for large tables where data is not naturally ordered or has become fragmented due to extensive DML operations. The appropriate use of a clustering key can lead to improved scan efficiency and better column compression, resulting in faster query execution times.
The indicators that it may be appropriate to use a clustering key for a table include:
* D. Queries on the table are running slower than expected: This can happen when the data in the table is not well-clustered, leading to inefficient scans during query execution.
* E. The clustering depth for the table is large: A large clustering depth indicates that the table's data is spread across many micro-partitions, which can degrade query performance as more data needs to be scanned.
References:
* Snowflake Documentation on Clustering Keys & Clustered Tables
* Snowflake Documentation on SYSTEM$CLUSTERING_INFORMATION
* Stack Overflow discussion on cluster key selection in Snowflake
NEW QUESTION # 854
The Snowflake Cloud Data Platform is described as having which of the following architectures?
Answer: A
Explanation:
Snowflake's architecture is described as a multi-cluster, shared data architecture. This design combines the simplicity of a shared-disk architecture with the performance and scale-out benefits of a shared-nothing architecture, using a central repository accessible from all compute nodes2.
References = [COF-C02] SnowPro Core Certification Exam Study Guide, Snowflake Documentation
NEW QUESTION # 855
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