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Two users share a virtual warehouse named wh dev 01. When one of the users loads data, the other one experiences performance issues while querying data.

How does Snowflake recommend resolving this issue?

A.
Scale up the existing warehouse.
A.
Scale up the existing warehouse.
Answers
B.
Create separate warehouses for each user.
B.
Create separate warehouses for each user.
Answers
C.
Create separate warehouses for each workload.
C.
Create separate warehouses for each workload.
Answers
D.
Stop loading and querying data at the same time.
D.
Stop loading and querying data at the same time.
Answers
Suggested answer: C

Explanation:

Snowflake recommends creating separate warehouses for each workload to resolve performance issues caused by shared virtual warehouses.This ensures that the resources are not being overutilized by one user's activities, thereby affecting the performance of another user's activities4.

How long does Snowflake retain information in the ACCESS HISTORY view?

A.
7 days
A.
7 days
Answers
B.
14 days
B.
14 days
Answers
C.
28 days
C.
28 days
Answers
D.
365 days
D.
365 days
Answers
Suggested answer: D

Explanation:

Snowflake retains information in the ACCESS HISTORY view for 365 days.This allows users to query the access history of Snowflake objects within the last year1.

A view is defined on a permanent table. A temporary table with the same name is created in the same schema as the referenced table. What will the query from the view return?

A.
The data from the permanent table.
A.
The data from the permanent table.
Answers
B.
The data from the temporary table.
B.
The data from the temporary table.
Answers
C.
An error stating that the view could not be compiled.
C.
An error stating that the view could not be compiled.
Answers
D.
An error stating that the referenced object could not be uniquely identified.
D.
An error stating that the referenced object could not be uniquely identified.
Answers
Suggested answer: A

Explanation:

When a view is defined on a permanent table, and a temporary table with the same name is created in the same schema, the query from the view will return the data from the permanent table.Temporary tables are session-specific and do not affect the data returned by views defined on permanent tables2.

What is used to diagnose and troubleshoot network connections to Snowflake?

A.
SnowCD
A.
SnowCD
Answers
B.
Snowpark
B.
Snowpark
Answers
C.
Snowsight
C.
Snowsight
Answers
D.
SnowSQL
D.
SnowSQL
Answers
Suggested answer: A

Explanation:

SnowCD (Snowflake Connectivity Diagnostic Tool) is used to diagnose and troubleshoot network connections to Snowflake.It runs a series of connection checks to evaluate the network connection to Snowflake

Which REST API can be used with unstructured data?

A.
inscrtFilcs
A.
inscrtFilcs
Answers
B.
insertReport
B.
insertReport
Answers
C.
GET /api/tiles/
C.
GET /api/tiles/
Answers
D.
loadHistoryScan
D.
loadHistoryScan
Answers
Suggested answer: C

Explanation:

The REST API used with unstructured data in Snowflake is GET /api/files/, which retrieves (downloads) a data file from an internal or external stage4.

What column type does a Kafka connector store formatted information in a single column?

A.
ARRAY
A.
ARRAY
Answers
B.
OBJECT
B.
OBJECT
Answers
C.
VARCHAR
C.
VARCHAR
Answers
D.
VARIANT
D.
VARIANT
Answers
Suggested answer: D

Explanation:

The Kafka connector stores formatted information in a single column of type VARIANT.This column type is used to store semi-structured data like JSON or Avro, which allows for flexibility in the data structure

When unloading data to an external stage, what is the MAXIMUM file size supported?

A.
1 GB
A.
1 GB
Answers
B.
5 GB
B.
5 GB
Answers
C.
10 GB
C.
10 GB
Answers
D.
16 GB
D.
16 GB
Answers
Suggested answer: B

Explanation:

When unloading data to an external stage, the maximum file size supported is 5 GB.This limit ensures efficient data transfer and management within Snowflake's architecture

By definition, a secure view is exposed only to users with what privilege?

A.
IMPORT SHARE
A.
IMPORT SHARE
Answers
B.
OWNERSHIP
B.
OWNERSHIP
Answers
C.
REFERENCES
C.
REFERENCES
Answers
D.
USAGE
D.
USAGE
Answers
Suggested answer: B

Explanation:

A secure view in Snowflake is exposed only to users with the OWNERSHIP privilege.This privilege ensures that only authorized users who own the view, or roles that include ownership, can access the secure view

What is a characteristic of the Snowflake Query Profile?

A.
It can provide statistics on a maximum number of 100 queries per week.
A.
It can provide statistics on a maximum number of 100 queries per week.
Answers
B.
It provides a graphic representation of the main components of the query processing.
B.
It provides a graphic representation of the main components of the query processing.
Answers
C.
It provides detailed statistics about which queries are using the greatest number of compute resources.
C.
It provides detailed statistics about which queries are using the greatest number of compute resources.
Answers
D.
It can be used by third-party software using the Query Profile API.
D.
It can be used by third-party software using the Query Profile API.
Answers
Suggested answer: B

Explanation:

The Snowflake Query Profile provides a graphic representation of the main components of the query processing.This visual aid helps users understand the execution details and performance characteristics of their queries4.

What statistical information in a Query Profile indicates that the query is too large to fit in memory? (Select TWO).

A.
Bytes spilled to local cache.
A.
Bytes spilled to local cache.
Answers
B.
Bytes spilled to local storage.
B.
Bytes spilled to local storage.
Answers
C.
Bytes spilled to remote cache.
C.
Bytes spilled to remote cache.
Answers
D.
Bytes spilled to remote storage.
D.
Bytes spilled to remote storage.
Answers
E.
Bytes spilled to remote metastore.
E.
Bytes spilled to remote metastore.
Answers
Suggested answer: A, B

Explanation:

In a Query Profile, the statistical information that indicates a query is too large to fit in memory includes bytes spilled to local cache and bytes spilled to local storage.These metrics suggest that the working data set of the query exceeded the memory available on the warehouse nodes, causing intermediate results to be written to disk

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