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Snowflake ARA-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Performance Optimization	20%	- Virtual warehouse configuration and sizing - Query performance tuning - Clustering and partitioning strategies - Cost optimization and resource management
Topic 2: Snowflake Architecture	30%	- Data sharing architecture design - Object hierarchy and architectural impact - Data modeling and use cases - Development lifecycle and workload support - Data protection and recovery strategies
Topic 3: Accounts and Security	25%	- Account and database strategy design - Security, compliance and governance architecture - Security principles and implementation scenarios
Topic 4: Data Engineering	25%	- Data loading and unloading solutions - Data pipeline and integration design - Transformation and processing frameworks

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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q185-Q190):

NEW QUESTION # 185
A data platform team creates two multi-cluster virtual warehouses with the AUTO_SUSPEND value set to NULL on one. and '0' on the other. What would be the execution behavior of these virtual warehouses?

A. Setting a '0' or NULL value means the warehouses will never suspend.
B. Setting a '0' value means the warehouses will suspend immediately, and NULL means the warehouses will never suspend.
C. Setting a '0' or NULL value means the warehouses will suspend after the default of 600 seconds.
D. Setting a '0' or NULL value means the warehouses will suspend immediately.

Answer: B

Explanation:
The AUTO_SUSPEND parameter controls the amount of time, in seconds, of inactivity after which a warehouse is automatically suspended. If the parameter is set to NULL, the warehouse never suspends. If the parameter is set to '0', the warehouse suspends immediately after executing a query. Therefore, the execution behavior of the two virtual warehouses will be different depending on the AUTO_SUSPEND value. The warehouse with NULL value will keep running until it is manually suspended or the resource monitor limits are reached. The warehouse with '0' value will suspend as soon as it finishes a query and release the compute resources. References:
* ALTER WAREHOUSE
* Parameters

NEW QUESTION # 186
The following DDL command was used to create a task based on a stream:

Assuming MY_WH is set to auto_suspend - 60 and used exclusively for this task, which statement is true?

A. The warehouse MY_WH will automatically resize to accommodate the size of the stream.
B. The warehouse MY_WH will only be active when there are results in the stream.
C. The warehouse MY_WH will be made active every five minutes to check the stream.
D. The warehouse MY_WH will never suspend.

Answer: B

Explanation:
The warehouse MY_WH will only be active when there are results in the stream. This is because the task is created based on a stream, which means that the task will only be executed when there are new data in the stream. Additionally, the warehouse is set to auto_suspend - 60, which means that the warehouse will automatically suspend after 60 seconds of inactivity. Therefore, the warehouse will only be active when there are results in the stream. References:
* [CREATE TASK | Snowflake Documentation]
* [Using Streams and Tasks | Snowflake Documentation]
* [CREATE WAREHOUSE | Snowflake Documentation]

NEW QUESTION # 187
A company wants to Integrate its main enterprise identity provider with federated authentication with Snowflake.
The authentication integration has been configured and roles have been created in Snowflake. However, the users are not automatically appearing in Snowflake when created and their group membership is not reflected in their assigned rotes.
How can the missing functionality be enabled with the LEAST amount of operational overhead?

A. SCIM must be enabled between the identity provider and Snowflake. Once both are synchronized through SCIM, their groups will get created as group accounts in Snowflake and the proper roles can be granted.
B. OAuth must be configured between the identity provider and Snowflake. Then the authorization server must be configured with the right mapping of users and roles.
C. OAuth must be configured between the identity provider and Snowflake. Then the authorization server must be configured with the right mapping of users, and the resource server must be configured with the right mapping of role assignment.
D. SCIM must be enabled between the identity provider and Snowflake. Once both are synchronized through SCIM. users will automatically get created and their group membership will be reflected as roles In Snowflake.

Answer: D

Explanation:
The best way to integrate an enterprise identity provider with federated authentication and enable automatic user creation and role assignment in Snowflake is to use SCIM (System for Cross-domain Identity Management). SCIM allows Snowflake to synchronize with the identity provider and create users and groups based on the information provided by the identity provider. The groups are mapped to roles in Snowflake, and the users are assigned the roles based on their group membership. This way, the identity provider remains the source of truth for user and group management, and Snowflake automatically reflects the changes without manual intervention. The other options are either incorrect or incomplete, as they involve using OAuth, which is a protocol for authorization, not authentication or user provisioning, and require additional configuration of authorization and resource servers.

NEW QUESTION # 188
What will happen if you try to ALTER a COLUMN(which has NULL values) to set it to NOT NULL

A. Snowflake automatically assigns a default value and let the change happen
B. Snowflake drops the row and let the change happen
C. An error is returned and no changes are applied to the column

Answer: C

NEW QUESTION # 189
What is a characteristic of loading data into Snowflake using the Snowflake Connector for Kafka?

A. The Connector creates and manages its own stage, file format, and pipe objects.
B. The Connector only works in AWS regions.
C. Loads using the Connector have lower latency than Snowpipe and ingest data in real time.
D. The Connector works with all file formats.

Answer: A

Explanation:
The Snowflake Connector for Kafka simplifies streaming ingestion by automatically managing Snowflake objects required for ingestion. It creates and manages internal stages, file formats, and Snowpipe pipes without requiring manual configuration (Answer C). This reduces operational overhead and simplifies deployment.
The connector is cloud-agnostic and works across supported Snowflake clouds, not just AWS. It supports a defined set of formats (such as JSON and Avro), not all possible formats. While the connector enables near real-time ingestion, it still uses Snowpipe under the hood and does not guarantee lower latency than Snowpipe Streaming.
For SnowPro Architect candidates, this question emphasizes understanding how Snowflake-managed connectors abstract infrastructure details while still relying on Snowflake-native ingestion services.

NEW QUESTION # 190
......

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