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Snowflake COF-C02 Practice Test - Questions Answers, Page 12

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What type of query benefits the MOST from search optimization?

A.
A query that uses only disjunction (i.e., OR) predicates
A.
A query that uses only disjunction (i.e., OR) predicates
Answers
B.
A query that includes analytical expressions
B.
A query that includes analytical expressions
Answers
C.
A query that uses equality predicates or predicates that use IN
C.
A query that uses equality predicates or predicates that use IN
Answers
D.
A query that filters on semi-structured data types
D.
A query that filters on semi-structured data types
Answers
Suggested answer: C

Explanation:

Search optimization in Snowflake is designed to improve the performance of queries that are selective and involve point lookup operations using equality and IN predicates.It is particularly beneficial for queries that access columns with a high number of distinct values1.

References = [COF-C02] SnowPro Core Certification Exam Study Guide, Snowflake Documentation

Which of the following are characteristics of Snowflake virtual warehouses? (Choose two.)

A.
Auto-resume applies only to the last warehouse that was started in a multi-cluster warehouse.
A.
Auto-resume applies only to the last warehouse that was started in a multi-cluster warehouse.
Answers
B.
The ability to auto-suspend a warehouse is only available in the Enterprise edition or above.
B.
The ability to auto-suspend a warehouse is only available in the Enterprise edition or above.
Answers
C.
SnowSQL supports both a configuration file and a command line option for specifying a default warehouse.
C.
SnowSQL supports both a configuration file and a command line option for specifying a default warehouse.
Answers
D.
A user cannot specify a default warehouse when using the ODBC driver.
D.
A user cannot specify a default warehouse when using the ODBC driver.
Answers
E.
The default virtual warehouse size can be changed at any time.
E.
The default virtual warehouse size can be changed at any time.
Answers
Suggested answer: C, E

Explanation:

Snowflake virtual warehouses support a configuration file and command line options in SnowSQL to specify a default warehouse, which is characteristic C. Additionally, the size of a virtual warehouse can be changed at any time, which is characteristic E.These features provide flexibility and ease of use in managing compute resources2.

References = [COF-C02] SnowPro Core Certification Exam Study Guide, Snowflake Documentation

Which command should be used to load data from a file, located in an external stage, into a table in Snowflake?

A.
INSERT
A.
INSERT
Answers
B.
PUT
B.
PUT
Answers
C.
GET
C.
GET
Answers
D.
COPY
D.
COPY
Answers
Suggested answer: D

Explanation:

The COPY command is used in Snowflake to load data from files located in an external stage into a table.This command allows for efficient and parallelized data loading from various file formats1.

References = [COF-C02] SnowPro Core Certification Exam Study Guide, Snowflake Documentation

The Snowflake Cloud Data Platform is described as having which of the following architectures?

A.
Shared-disk
A.
Shared-disk
Answers
B.
Shared-nothing
B.
Shared-nothing
Answers
C.
Multi-cluster shared data
C.
Multi-cluster shared data
Answers
D.
Serverless query engine
D.
Serverless query engine
Answers
Suggested answer: C

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

Which of the following is a data tokenization integration partner?

A.
Protegrity
A.
Protegrity
Answers
B.
Tableau
B.
Tableau
Answers
C.
DBeaver
C.
DBeaver
Answers
D.
SAP
D.
SAP
Answers
Suggested answer: A

Explanation:

Protegrity is listed as a data tokenization integration partner for Snowflake.This partnership allows Snowflake users to utilize Protegrity's tokenization solutions within the Snowflake environment3.

References = [COF-C02] SnowPro Core Certification Exam Study Guide, Snowflake Documentation

What versions of Snowflake should be used to manage compliance with Personal Identifiable Information (PII) requirements? (Choose two.)

A.
Custom Edition
A.
Custom Edition
Answers
B.
Virtual Private Snowflake
B.
Virtual Private Snowflake
Answers
C.
Business Critical Edition
C.
Business Critical Edition
Answers
D.
Standard Edition
D.
Standard Edition
Answers
E.
Enterprise Edition
E.
Enterprise Edition
Answers
Suggested answer: B, C

Explanation:

To manage compliance with Personal Identifiable Information (PII) requirements, the Virtual Private Snowflake and Business Critical Editions of Snowflake should be used.These editions provide advanced security features necessary for handling sensitive data

What are supported file formats for unloading data from Snowflake? (Choose three.)

A.
XML
A.
XML
Answers
B.
JSON
B.
JSON
Answers
C.
Parquet
C.
Parquet
Answers
D.
ORC
D.
ORC
Answers
E.
AVRO
E.
AVRO
Answers
F.
CSV
F.
CSV
Answers
Suggested answer: B, C, F

Explanation:

The supported file formats for unloading data from Snowflake include JSON, Parquet, and CSV.These formats are commonly used for their flexibility and compatibility with various data processing tools

The Snowflake cloud services layer is responsible for which tasks? (Choose two.)

A.
Local disk caching
A.
Local disk caching
Answers
B.
Authentication and access control
B.
Authentication and access control
Answers
C.
Metadata management
C.
Metadata management
Answers
D.
Query processing
D.
Query processing
Answers
E.
Database storage
E.
Database storage
Answers
Suggested answer: B, C

Explanation:

The Snowflake cloud services layer is responsible for tasks such as authentication and access control, ensuring secure access to the platform, and metadata management, which involves organizing and maintaining information about the data stored in Snowflake56.

When publishing a Snowflake Data Marketplace listing into a remote region what should be taken into consideration? (Choose two.)

A.
There is no need to have a Snowflake account in the target region, a share will be created for each user.
A.
There is no need to have a Snowflake account in the target region, a share will be created for each user.
Answers
B.
The listing is replicated into all selected regions automatically, the data is not.
B.
The listing is replicated into all selected regions automatically, the data is not.
Answers
C.
The user must have the ORGADMIN role available in at least one account to link accounts for replication.
C.
The user must have the ORGADMIN role available in at least one account to link accounts for replication.
Answers
D.
Shares attached to listings in remote regions can be viewed from any account in an organization.
D.
Shares attached to listings in remote regions can be viewed from any account in an organization.
Answers
E.
For a standard listing the user can wait until the first customer requests the data before replicating it to the target region.
E.
For a standard listing the user can wait until the first customer requests the data before replicating it to the target region.
Answers
Suggested answer: B, C

Explanation:

When publishing a Snowflake Data Marketplace listing into a remote region, it's important to note that while the listing is replicated into all selected regions automatically, the data itself is not. Therefore, the data must be replicated separately.Additionally, the user must have the ORGADMIN role in at least one account to manage the replication of accounts1.

When loading data into Snowflake via Snowpipe what is the compressed file size recommendation?

A.
10-50 MB
A.
10-50 MB
Answers
B.
100-250 MB
B.
100-250 MB
Answers
C.
300-500 MB
C.
300-500 MB
Answers
D.
1000-1500 MB
D.
1000-1500 MB
Answers
Suggested answer: B

Explanation:

For loading data into Snowflake via Snowpipe, the recommended compressed file size is between 100-250 MB.This size range is optimal for balancing the performance of parallel processing and minimizing the overhead associated with handling many small files2.

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