COF-C02 UPDATED TEST CRAM, COF-C02 PASSLEADER REVIEW

COF-C02 Updated Test Cram, COF-C02 Passleader Review

COF-C02 Updated Test Cram, COF-C02 Passleader Review

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Snowflake COF-C02: SnowPro Core Certification exam is a challenging and comprehensive exam that tests your skills and knowledge of Snowflake's cloud data warehousing platform. SnowPro Core Certification Exam certification is globally recognized and highly valued by employers seeking qualified professionals in the data warehousing field. With adequate preparation and practical experience, candidates can take and pass the exam to achieve their desired certification and propel their careers forward.

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Snowflake SnowPro Core Certification Exam Sample Questions (Q584-Q589):

NEW QUESTION # 584
What are value types that a VARIANT column can store? (Select TWO)

  • A. BINARY
  • B. CLOB
  • C. STRUCT
  • D. OBJECT
  • E. ARRAY

Answer: D,E

Explanation:
A VARIANT column in Snowflake can store semi-structured data types. This includes:
B . OBJECT: An object is a collection of key-value pairs in JSON, and a VARIANT column can store this type of data structure.
D . ARRAY: An array is an ordered list of zero or more values, which can be of any variant-supported data type, including objects or other arrays.
The VARIANT data type is specifically designed to handle semi-structured data like JSON, Avro, ORC, Parquet, or XML, allowing for the storage of nested and complex data structures.
Reference:
Snowflake Documentation on Semi-Structured Data Types
SnowPro Core Certification Study Guide


NEW QUESTION # 585
Which privilege is required to use the search optimization service in Snowflake?

  • A. GRANT ADD SEARCH OPTIMIZATION ON SCHEMA <schema_name> TO ROLE <role>
  • B. GRANT ADD SEARCH OPTIMIZATION ON DATABASE <database name> TO ROLE <role>
  • C. GRANT SEARCH OPTIMIZATION ON DATABASE <database_name> TO ROLE <role>
  • D. GRANT SEARCH OPTIMIZATION ON SCHEMA <schema_name> TO ROLE <role>

Answer: A

Explanation:
To utilize the search optimization service in Snowflake, the correct syntax for granting privileges to a role involves specific commands that include adding search optimization capabilities:
* Option C: GRANT ADD SEARCH OPTIMIZATION ON SCHEMA <schema_name> TO ROLE
<role>. This command grants the specified role the ability to implement search optimization at the schema level, which is essential for enhancing search capabilities within that schema.
Options A and B do not include the correct verb "ADD," which is necessary for this specific type of grant command in Snowflake. Option D incorrectly mentions the database level, as search optimization privileges are typically configured at the schema level, not the database level.References: Snowflake documentation on the use of GRANT statements for configuring search optimization.


NEW QUESTION # 586
What persistent data structures are used by the search optimization service to improve the performance of point lookups?

  • A. Micro-partitions
  • B. Clustering keys
  • C. Equality searches
  • D. Search access paths

Answer: D

Explanation:
The search optimization service in Snowflake uses persistent data structures known as search access paths to improve the performance of point lookups. These structures enable efficient retrieval of data by reducing the amount of data scanned during queries.
Search Access Paths:
Search access paths are special indexing structures maintained by the search optimization service.
They store metadata about the distribution of data within tables, enabling faster lookups for specific values.
Point Lookups:
Point lookups involve searching for a specific value within a column.
By leveraging search access paths, Snowflake can quickly locate the exact micro-partition containing the value, minimizing the amount of data scanned.
Performance Improvement:
The use of search access paths significantly reduces query execution time for point lookups.
This is especially beneficial for large tables where scanning all micro-partitions would be computationally expensive.
Reference:
Snowflake Documentation: Search Optimization Service
Snowflake Documentation: Understanding Search Access Paths


NEW QUESTION # 587
What features does Snowflake Time Travel enable?

  • A. Analyzing data usage/manipulation over all periods of time
  • B. Querying data-related objects that were created within the past 365 days
  • C. Conducting point-in-time analysis for Bl reporting
  • D. Restoring data-related objects that have been deleted within the past 90 days

Answer: D

Explanation:
Explanation
Snowflake Time Travel enables accessing historical data (i.e. data that has been changed or deleted) at any point within a defined period. It serves as a powerful tool for performing the following tasks:
* Restoring data-related objects (tables, schemas, and databases) that might have been accidentally or intentionally deleted.
* Duplicating and backing up data from key points in the past.
* Analyzing data usage/manipulation over specified periods of time.
https://docs.snowflake.com/en/user-guide/data-time-travel.html


NEW QUESTION # 588
During periods of warehouse contention which parameter controls the maximum length of time a warehouse will hold a query for processing?

  • A. MAX_CONCURRENCY__LEVEL
  • B. STATEMENT_TIMEOUT__IN__SECONDS
  • C. STATEMENT_QUEUED_TIMEOUT_IN_SECONDS
  • D. QUERY_TIMEOUT_IN_SECONDS

Answer: C

Explanation:
Explanation
The parameter STATEMENT_QUEUED_TIMEOUT_IN_SECONDS sets the limit for a query to wait in the queue in order to get its chance of running on the warehouse. The query will quit after reaching this limit.
By default, the value of this parameter is 0 which mean the queries will wait indefinitely in the waiting queue
https://community.snowflake.com/s/article/Warehouse-Concurrency-and-Statement-Timeout-Parameters#:~:text


NEW QUESTION # 589
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