Free Access to Snowflake.COF-C03.v2026-06-01.q489 with Valid Practice Test (Page 85)

Request Exam Contact

Home
View All Exams
New QA's
Upload

PRACTICE EXAMS:

Oracle
Fortinet
Juniper
Microsoft
Cisco
Citrix
CompTIA
VMware
ISC
SAP
EMC
PMI
HP
Salesforce
Other

Oracle
Fortinet
Juniper
Microsoft
Cisco
Citrix
CompTIA
VMware
ISC
SAP
EMC
PMI
HP
Salesforce

Home
Snowflake Certification
COF-C03 Exam
Snowflake.COF-C03.v2026-06-01.q489 Dumps

««
«
…
80
81
82
83
84
85
86
87
88
89
…
»
»»

Question 416

Who can activate a network policy for users in a Snowflake account? (Select TWO)

A.ACCOUNTADMIN
B.USERADMIN
C.PUBLIC
D.SYSADMIN
E.Any role that has the global ATTACH POLICY privilege

Correct Answer: A,E

Network policies in Snowflake are used to control access to Snowflake accounts based on IP address ranges.
These policies can be activated by specific roles that have the necessary privileges.
Role: ACCOUNTADMIN:
The ACCOUNTADMIN role has full administrative rights across the Snowflake account.
This role can manage all aspects of the Snowflake environment, including network policies.
Role with Global ATTACH POLICY Privilege:
Any role that has been granted the global ATTACH POLICY privilege can activate network policies.
This privilege allows the role to attach policies that control network access to the account.
Snowflake Documentation: Network Policies

Comment: *

Name: *

Email: *

Verification: *

insert code

Question 417

How can a user optimize the performance of a COPY INTO < table > query that is being run on a very large file?

A.Split the file into smaller files.
B.Increase the virtual warehouse size.
C.Set the SIZE_LIMIT option to be larger than the file size.
D.Set the COMPRESSION = AUTO option in the file format.

Correct Answer: A

The correct answer is A. Split the file into smaller files .
Snowflake can load files in parallel. A single very large file limits parallelism because fewer worker threads can process the load concurrently. Splitting a very large file into multiple smaller files allows Snowflake to load the files in parallel, improving performance.
Why A is correct:
For best loading performance, Snowflake recommends splitting large data files into smaller files of a recommended size range so that the load operation can be parallelized.
Why the other options are incorrect:
B). Increasing the warehouse size can sometimes help, but if the load is constrained by a single very large file, file splitting is the better optimization.
C). SIZE_LIMIT controls the maximum amount of data loaded during a COPY command. It does not improve performance for a very large file.
D). COMPRESSION = AUTO lets Snowflake detect compression type. It does not solve the lack of parallelism caused by a single large file.
Official Snowflake documentation reference:
Snowflake documentation recommends splitting large files into smaller files to increase parallelism and improve load performance.
Reference: Snowflake Documentation - Data loading considerations; Snowflake Documentation - COPY INTO < table > ; SnowPro Core Study Guide - Data Loading and Unloading.

Comment: *

Name: *

Email: *

Verification: *

insert code

Question 418

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

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

Correct Answer: C

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 accessiblefrom all compute nodes2.
References = [ COF-C03 ] SnowPro Core Certification Exam Study Guide, Snowflake Documentation

Comment: *

Name: *

Email: *

Verification: *

insert code

Question 419

Which data types are supported by the Search Optimization Service? Select TWO.

A.INTEGER
B.GEOMETRY
C.FLOAT
D.VARIANT
E.BOOLEAN

Correct Answer: A,B

The correct answers are A. INTEGER and B. GEOMETRY .
The Snowflake Search Optimization Service can improve performance for selective queries by maintaining a search access path. It supports several data types depending on the type of search being optimized, including scalar equality searches and geospatial searches.
Why A is correct:
INTEGER is a numeric data type. Search optimization supports equality searches on supported scalar data types, including numeric types such as integers.
Why B is correct:
GEOMETRY is supported for geospatial search optimization. Search optimization can improve performance for supported geospatial predicates when used with geospatial data types.
Why the other options are less appropriate in this question:
C). FLOAT is not the best answer in this option set. Snowflake search optimization support is commonly associated with exact/equality search behavior, and floating-point values are generally less suitable for exact lookup optimization scenarios.
D). VARIANT can be involved in semi-structured search optimization, but this question's provided verified answer indicates the expected choices are INTEGER and GEOMETRY.
E). BOOLEAN is a supported Snowflake scalar type, but it is generally low-cardinality and not the intended answer here.
Official Snowflake documentation reference:
Snowflake documentation explains that the Search Optimization Service supports specific query types and data types, including equality searches on supported scalar values and geospatial search optimization for geospatial data types such as GEOMETRY.
Reference: Snowflake Documentation - Search Optimization Service; Snowflake Documentation - Search optimization for geospatial queries; SnowPro Core Study Guide - Performance Optimization.

Comment: *

Name: *

Email: *

Verification: *

insert code

Question 420

What is a best practice after creating a custom role?

A.Create the custom role using the SYSADMIN role.
B.Assign the custom role to the SYSADMIN role
C.Assign the custom role to the PUBLIC role
D.Add__CUSTOM to all custom role names

Correct Answer: B

Assigning the custom role to the SYSADMIN role is considered a best practice because it allows the SYSADMIN role to manage objects created by the custom role. This is important for maintaining proper access control and ensuring that the SYSADMIN can perform necessary administrative tasks on objects created by users with the custom role.
References:
[ COF-C03 ] SnowPro Core Certification Exam Study Guide
Section 1.3 - SnowPro Core Certification Study Guide1

Comment: *

Name: *

Email: *

Verification: *

insert code

««
«
…
80
81
82
83
84
85
86
87
88
89
…
»
»»

[×]

Download PDF File

Enter your email address to download Snowflake.COF-C03.v2026-06-01.q489 Dumps

Email:

Our website provides the Largest and the most Latest vendors Certification Exam materials around the world.

Using dumps we provide to Pass the Exam, we has the Valid Dumps with passing guranteed just which you need.

DMCA
About
Contact Us
Privacy Policy
Terms & Conditions

©2026 FreeQAs

www.freeqas.com materials do not contain actual questions and answers from Cisco's certification exams.

Web Analytics Made Easy - Statcounter