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NEW QUESTION # 428
What is the default value in the Snowflake Web Interface (Ul) for auto suspending a Virtual Warehouse?
Answer: B
NEW QUESTION # 429
Which Snowflake feature provides increased login security for users connecting to Snowflake that is powered by Duo Security service?
Answer: B
Explanation:
Multi-Factor Authentication (MFA) provides increased login security for users connecting to Snowflake.
Snowflake's MFA is powered by Duo Security service, which adds an additional layer of security during the login process.
NEW QUESTION # 430
What happens to the underlying table data when a CLUSTER BY clause is added to a Snowflake table?
Answer: C
Explanation:
When a CLUSTER BY clause is added to a Snowflake table, it specifies one or more columns to organize the data within the table's micro-partitions. This clustering aims to colocate data with similar values in the same or adjacent micro-partitions. By doing so, it enhances the efficiency of query pruning, where the Snowflake query optimizer can skip over irrelevant micro-partitions that do not contain the data relevant to the query, thereby improving performance.
References:
* Snowflake Documentation on Clustering Keys & Clustered Tables1.
* Community discussions on how source data's ordering affects a table with a cluster key
NEW QUESTION # 431
How are serverless features billed?
Answer: B
Explanation:
Serverless features in Snowflake are billed based on the time they are used, measured in minutes. The cost is calculated by multiplying the duration of the job by an automatic sizing determined by Snowflake, with a minimum billing increment of one minute. This means that even if a serverless feature is used for less than a minute, it will still be billed for the full minute.
NEW QUESTION # 432
Which Snowflake table supports unstructured data?
Answer: C
Explanation:
While Snowflake primarily deals with structured and semi-structured data, it also has the capability to handle unstructured data. Unstructured data can be stored in Snowflake using variants of SQL data types in tables, which can be permanent tables. These permanent tables, while traditionally used for structured or semi- structured data (like JSON, Avro, or Parquet), can also accommodate unstructured data in the form of binary formats or strings, offering flexibility in data storage and analysis. However, the management and querying of unstructured data in Snowflake may require additional considerations compared to structured data.
References: Snowflake Documentation on Data Types
NEW QUESTION # 433
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