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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q134-Q139):

NEW QUESTION # 134
When loading data into a table that captures the load time in a column with a default value of either CURRENT_TIME () or CURRENT_TIMESTAMP () what will occur?

A. Any rows loaded using a specific COPY statement will have varying timestamps based on when the rows were read from the source.
B. Any rows loaded using a specific COPY statement will have varying timestamps based on when the rows were created in the source.
C. All rows loaded using a specific COPY statement will have varying timestamps based on when the rows were inserted.
D. All rows loaded using a specific COPY statement will have the same timestamp value.

Answer: D

Explanation:
When using the COPY command to load data into Snowflake, if a column has a default value set to CURRENT_TIME() or CURRENT_TIMESTAMP(), all rows loaded by that specific COPY command will have the same timestamp. This is because the default value for the timestamp is evaluated at the start of the COPY operation, and that same value is applied to all rows loaded by that operation.
References: This behavior is consistent with Snowflake's documentation on the CURRENT_TIMESTAMP function, which specifies that the timestamp is captured at the time the statement is executed1.

NEW QUESTION # 135
With default settings, how long will a query run on snowflake

A. Snowflake will cancel the query if the warehouse runs out of memory and hard disk storage
B. Snowflake will cancel the query if it runs more than 48 hours
C. Snowflake will cancel the query if the warehouse runs out of memory
D. Snowflake will cancel the query if it runs more than 24 hours

Answer: B

NEW QUESTION # 136
With default settings for multi cluster warehouse, how does snowflake determines when to start a new cluster?

A. Immediately when either a query is queued or the system detects that there's one more query than the currently-running clusters can execute
B. Only if the system estimates there's enough query load to keep the cluster busy for at least 4 minutes.
C. Only if the system estimates there's enough query load to keep the cluster busy for at least 6 minutes.

Answer: A

NEW QUESTION # 137
An Architect on a new project has been asked to design an architecture that meets Snowflake security, compliance, and governance requirements as follows:
1) Use Tri-Secret Secure in Snowflake
2) Share some information stored in a view with another Snowflake customer
3) Hide portions of sensitive information from some columns
4) Use zero-copy cloning to refresh the non-production environment from the production environment To meet these requirements, which design elements must be implemented? (Choose three.)

A. Use the Enterprise edition of Snowflake.
B. Use the Business-Critical edition of Snowflake.
C. Use Dynamic Data Masking.
D. Define row access policies.
E. Create a secure view.
F. Create a materialized view.

Answer: B,C,E

Explanation:
These three design elements are required to meet the security, compliance, and governance requirements for the project.
To use Tri-Secret Secure in Snowflake, the Business Critical edition of Snowflake is required. This edition provides enhanced data protection features, such as customer-managed encryption keys, that are not available in lower editions. Tri-Secret Secure is a feature that combines a Snowflake-maintained key and a customer-managed key to create a composite master key to encrypt the data in Snowflake1.
To share some information stored in a view with another Snowflake customer, a secure view is recommended. A secure view is a view that hides the underlying data and the view definition from unauthorized users. Only the owner of the view and the users who are granted the owner's role can see the view definition and the data in the base tables of the view2. A secure view can be shared with another Snowflake account using a data share3.
To hide portions of sensitive information from some columns, Dynamic Data Masking can be used. Dynamic Data Masking is a feature that allows applying masking policies to columns to selectively mask plain-text data at query time. Depending on the masking policy conditions and the user's role, the data can be fully or partially masked, or shown as plain-text4.

NEW QUESTION # 138
A global company needs to securely share its sales and Inventory data with a vendor using a Snowflake account.
The company has its Snowflake account In the AWS eu-west 2 Europe (London) region. The vendor's Snowflake account Is on the Azure platform in the West Europe region. How should the company's Architect configure the data share?

A. 1. Create a new role called db_share.
2. Grant the db_share role privileges to read data from the company database and schema.
3. Create a user for the vendor.
4. Grant the ds_share role to the vendor's users.
B. 1. Create a share.
2. Add objects to the share.
3. Add a consumer account to the share for the vendor to access.
C. 1. Promote an existing database in the company's local account to primary.
2. Replicate the database to Snowflake on Azure in the West-Europe region.
3. Create a share and add objects to the share.
4. Add a consumer account to the share for the vendor to access.
D. 1. Create a share.
2. Create a reader account for the vendor to use.
3. Add the reader account to the share.

Answer: B

Explanation:
The correct way to securely share data with a vendor using a Snowflake account on a different cloud platform and region is to create a share, add objects to the share, and add a consumer account to the share for the vendor to access. This way, the company can control what data is shared, who can access it, and how long the share is valid. The vendor can then query the shared data without copying or moving it to their own account. The other options are either incorrect or inefficient, as they involve creating unnecessary reader accounts, users, roles, or database replication.
https://learn.snowflake.com/en/certifications/snowpro-advanced-architect/

NEW QUESTION # 139
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