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Snowflake COF-C02 Practice Test - Questions Answers, Page 31

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How does Snowflake handle the bulk unloading of data into single or multiple files?

A.
It assigns each unloaded data file a unique name.
A.
It assigns each unloaded data file a unique name.
Answers
B.
It uses the put command to download the data by default.
B.
It uses the put command to download the data by default.
Answers
C.
It uses COPY INTO <location> for bulk unloading where the default option is SINGLE - TRUE.
C.
It uses COPY INTO <location> for bulk unloading where the default option is SINGLE - TRUE.
Answers
D.
It uses COPY INTO <location> to copy the data from a table into one or more files in an external stage only.
D.
It uses COPY INTO <location> to copy the data from a table into one or more files in an external stage only.
Answers
Suggested answer: A

Explanation:

When unloading data, Snowflake assigns each file a unique name to ensure there is no overlap or confusion between files.This is part of the bulk unloading process where data is exported from Snowflake tables into flat files3.

If file format options are specified in multiple locations, the load operation selects which option FIRST to apply in order of precedence?

A.
Table definition
A.
Table definition
Answers
B.
Stage definition
B.
Stage definition
Answers
C.
Session level
C.
Session level
Answers
D.
COPY INTO TABLE statement
D.
COPY INTO TABLE statement
Answers
Suggested answer: D

Explanation:

When file format options are specified in multiple locations, the load operation applies the options in the following order of precedence: first, the COPY INTO TABLE statement; second, the stage definition; and third, the table definition1

Which statement accurately describes a characteristic of a materialized view?

A.
A materialized view can query only a single table.
A.
A materialized view can query only a single table.
Answers
B.
Data accessed through materialized views can be stale.
B.
Data accessed through materialized views can be stale.
Answers
C.
Materialized view refreshes need to be maintained by the user.
C.
Materialized view refreshes need to be maintained by the user.
Answers
D.
Querying a materialized view is slower than executing a query against the base table of the view.
D.
Querying a materialized view is slower than executing a query against the base table of the view.
Answers
Suggested answer: B

Explanation:

A characteristic of a materialized view is that the data accessed through it can be stale.This is because the data in a materialized view may not reflect the latest changes in the base tables until the view is refreshed

Which stream type can be used for tracking the records in external tables?

A.
Append-only
A.
Append-only
Answers
B.
External
B.
External
Answers
C.
Insert-only
C.
Insert-only
Answers
D.
Standard
D.
Standard
Answers
Suggested answer: B

Explanation:

The stream type that can be used for tracking the records in external tables is 'External'.This type of stream is specifically designed to track changes in external tables

What can a Snowflake user do in the Activity section in Snowsight?

A.
Create dashboards.
A.
Create dashboards.
Answers
B.
Write and run SQL queries.
B.
Write and run SQL queries.
Answers
C.
Explore databases and objects.
C.
Explore databases and objects.
Answers
D.
Explore executed query performance.
D.
Explore executed query performance.
Answers
Suggested answer: D

Explanation:

In the Activity section in Snowsight, Snowflake users can explore the performance of executed queries.This includes monitoring queries, viewing details about queries, including performance data, and exploring each step of an executed query in the query profile1.

Which Snowflake URL type is used by directory tables?

A.
File
A.
File
Answers
B.
Pre-signed
B.
Pre-signed
Answers
C.
Scoped
C.
Scoped
Answers
D.
Virtual-hosted style
D.
Virtual-hosted style
Answers
Suggested answer: C

Explanation:

The Snowflake URL type used by directory tables is the scoped URL.This type of URL provides access to files in a stage with metadata, such as the Snowflake file URL, for each file

For the ALLOWED VALUES tag property, what is the MAXIMUM number of possible string values for a single tag?

A.
10
A.
10
Answers
B.
50
B.
50
Answers
C.
64
C.
64
Answers
D.
256
D.
256
Answers
Suggested answer: D

Explanation:

For the ALLOWED VALUES tag property, the maximum number of possible string values for a single tag is 256.This allows for a wide range of values to be assigned to a tag when it is set on an object

What does Snowflake's search optimization service support?

A.
External tables
A.
External tables
Answers
B.
Materialized views
B.
Materialized views
Answers
C.
Tables and views that are not protected by row access policies
C.
Tables and views that are not protected by row access policies
Answers
D.
Casts on table columns (except for fixed-point numbers cast to strings)
D.
Casts on table columns (except for fixed-point numbers cast to strings)
Answers
Suggested answer: C

Explanation:

Snowflake's search optimization service supports tables and views that are not protected by row access policies.It is designed to improve the performance of certain types of queries on tables, including selective point lookup queries and queries on fields in VARIANT, OBJECT, and ARRAY (semi-structured) columns1.

What action can a user take to address query concurrency issues?

A.
Enable the query acceleration service.
A.
Enable the query acceleration service.
Answers
B.
Enable the search optimization service.
B.
Enable the search optimization service.
Answers
C.
Add additional clusters to the virtual warehouse
C.
Add additional clusters to the virtual warehouse
Answers
D.
Resize the virtual warehouse to a larger instance size.
D.
Resize the virtual warehouse to a larger instance size.
Answers
Suggested answer: C

Explanation:

To address query concurrency issues, a user can add additional clusters to the virtual warehouse.This allows for the distribution of queries across multiple clusters, reducing the load on any single cluster and improving overall query performance2.

How long can a data consumer who has a pre-signed URL access data files using Snowflake?

A.
Indefinitely
A.
Indefinitely
Answers
B.
Until the result_cache expires
B.
Until the result_cache expires
Answers
C.
Until the retention_time is met
C.
Until the retention_time is met
Answers
D.
Until the expiration time is exceeded
D.
Until the expiration time is exceeded
Answers
Suggested answer: D

Explanation:

A data consumer who has a pre-signed URL can access data files using Snowflake until the expiration time is exceeded.The expiration time is set when the pre-signed URL is generated and determines how long the URL remains valid3.

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