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Snowflake COF-C02 certification exam is a comprehensive exam that covers multiple topics related to Snowflake, including its architecture, administration, development, and data loading. COF-C02 Exam is divided into two parts, with the first part consisting of multiple-choice questions and the second part consisting of hands-on exercises.

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Snowflake COF-C02 exam is vendor-agnostic and focuses on the core concepts of data warehousing, data processing, and data analysis. COF-C02 exam covers a wide range of topics, including Snowflake architecture, data loading, data unloading, data modeling, and data querying. SnowPro Core Certification Exam certification exam consists of 90 multiple-choice questions and has a time limit of 2 hours. COF-C02 exam is proctored and can be taken remotely.

Snowflake COF-C02 (SnowPro Core Certification) Certification Exam covers a wide range of topics related to Snowflake's cloud data platform. COF-C02 exam includes questions on data warehousing, data modeling, SQL and SnowSQL, data loading, data unloading, and data management. It also tests candidates on their understanding of Snowflake's security model, performance optimization techniques, and best practices for query tuning.

Snowflake SnowPro Core Certification Exam Sample Questions (Q518-Q523):

NEW QUESTION # 518
If auto-suspend is enable for a Virtual Warehouse, he Warehouse is automatically suspended when:

  • A. The Warehouse is inactive for a specified period of time.
  • B. There are no users loaned into Snowflake.
  • C. The last query using the warehouse completes.
  • D. All Snowflake sessions using the warehouse are terminated.

Answer: A


NEW QUESTION # 519
What SnowFlake database object is derived from a query specification, stored for later use, and can speed up expensive aggregation on large data sets?

  • A. External table
  • B. Temporary table
  • C. Materialized view
  • D. Secure view

Answer: C


NEW QUESTION # 520
What is the default value in the Snowflake Web Interface (Ul) for auto suspending a Virtual Warehouse?

  • A. 5 minutes
  • B. 1 minutes
  • C. 15 minutes
  • D. 10 minutes

Answer: D

Explanation:
The default value for auto-suspending a Virtual Warehouse in the Snowflake Web Interface (UI) is 10 minutes. This setting helps manage compute costs by automatically suspending warehouses that are not in use, ensuring that compute resources are efficiently allocated and not wasted on idle warehouses.
References:
* Snowflake Documentation: Virtual Warehouses


NEW QUESTION # 521
Which of the following indicates that it may be appropriate to use a clustering key for a table? (Select TWO).

  • A. DML statements that are being issued against the table are blocked
  • B. The table has a small number of micro-partitions
  • C. Queries on the table are running slower than expected
  • D. The table contains a column that has very low cardinality
  • E. The clustering depth for the table is large

Answer: C,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.
Reference:
Snowflake Documentation on Clustering Keys & Clustered Tables
Snowflake Documentation on SYSTEM$CLUSTERING_INFORMATION
Stack Overflow discussion on cluster key selection in Snowflake


NEW QUESTION # 522
What should be used when creating a CSV file format where the columns are wrapped by single quotes or double quotes?

  • A. SKIP BYTE ORDER MARK
  • B. BINARY_FORMAT
  • C. ESCAPE_UNENCLOSED_FIELD
  • D. FIELD_OPTIONALLY_ENCLOSED_BY

Answer: D

Explanation:
When creating a CSV file format in Snowflake and the requirement is to wrap columns by single quotes or double quotes, the FIELD_OPTIONALLY_ENCLOSED_BY parameter should be used in the file format specification. This parameter allows you to define a character (either a single quote or a double quote) that can optionally enclose each field in the CSV file, providing flexibility in handling fields that contain special characters or delimiters as part of their data.
References:
* Snowflake Documentation: CSV File Format


NEW QUESTION # 523
......

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