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Snowflake ARA-C01 Exam Syllabus Topics:

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

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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q117-Q122):

NEW QUESTION # 117
An Architect needs to meet a company requirement to ingest files from the company's AWS storage accounts into the company's Snowflake Google Cloud Platform (GCP) account. How can the ingestion of these files into the company's Snowflake account be initiated? (Select TWO).

A. Configure the client application to call the Snowpipe REST endpoint when new files have arrived in Amazon S3 storage.
B. Configure AWS Simple Notification Service (SNS) to notify Snowpipe when new files have arrived in Amazon S3 storage.
C. Create an AWS Lambda function to call the Snowpipe REST endpoint when new files have arrived in Amazon S3 storage.
D. Configure the client application to call the Snowpipe REST endpoint when new files have arrived in Amazon S3 Glacier storage.
E. Configure the client application to issue a COPY INTO <TABLE> command to Snowflake when new files have arrived in Amazon S3 Glacier storage.

Answer: A,C

Explanation:
This question centers aroundcross-cloud ingestionusingSnowpipe, where the Snowflake account is onGoogle Cloud, but the source data resides inAmazon S3. Sinceautomatic Snowpipe event-based integration (using AWS SNS)is only supported when Snowflake is deployed onAWS, this limits the options.
In a multi-cloud scenario (e.g., S3 to GCP-hosted Snowflake), onlymanual triggering of Snowpipeis available, typically through theSnowpipe REST API.
Option A - Correct
You can configure your client application to call theSnowpipe REST APIwhen files are available. This is suitable and supported forcross-cloud ingestion, such as from AWS S3 into a Snowflake account hosted on GCP.
Official Extract:
"For cloud platforms other than AWS, or when using Snowpipe in a cross-cloud or external storage configuration, the REST API must be used to trigger ingestion." Source:Snowflake Docs - Using Snowpipe REST API Option C - Correct AWS Lambda can be used toinvoke the Snowpipe REST APIwhen files arrive in S3. This is a common pattern in cross-cloud integrations, acting as a middle layer.
Official Extract:
"You can use an AWS Lambda function to call the Snowpipe REST API when new files are added to your S3 bucket. This pattern works for Snowflake accounts hosted outside of AWS." Source:Snowflake Docs - Automating Snowpipe REST API Calls Option B - Incorrect S3 Glacier is an archival storage service and isnot supportedfor direct loading into Snowflake, since data is not immediately accessible.
Option D - Incorrect
UsingAWS SNS for auto-notificationis only supported whenSnowflake is deployed on AWS. Since this question specifies Snowflake onGCP, SNS-based integration isnot supported.
Official Extract:
"Snowpipe supports Amazon S3 event notifications (SNS/SQS) only for Snowflake accounts hosted on AWS." Source:Snowflake Docs - Supported Cloud Platforms Option E - Incorrect Similar to Option B, S3 Glacier isnot a valid sourcefor data loading because it does not provide real-time file access.
References:
Snowflake Documentation - Snowpipe Overview
Snowpipe REST API
Automating Snowpipe with Lambda
Automatic Ingestion Support - Cloud Limitations

NEW QUESTION # 118
For the best performance while loading data into table from a stage, you should avoid applying patterns that filter on a large number of files.

A. FALSE
B. TRUE

Answer: B

NEW QUESTION # 119
What are purposes for creating a storage integration? (Choose three.)

A. Store a generated identity and access management (IAM) entity for an external cloud provider regardless of the cloud provider that hosts the Snowflake account.
B. Control access to Snowflake data using a master encryption key that is maintained in the cloud provider's key management service.
C. Avoid supplying credentials when creating a stage or when loading or unloading data.
D. Manage credentials from multiple cloud providers in one single Snowflake object.
E. Create private VPC endpoints that allow direct, secure connectivity between VPCs without traversing the public internet.
F. Support multiple external stages using one single Snowflake object.

Answer: A,C,F

Explanation:
The purpose of creating a storage integration in Snowflake includes:
B: Store a generated identity and access management (IAM) entity for an external cloud provider - This helps in managing authentication and authorization with external cloud storage without embedding credentials in Snowflake. It supports various cloud providers like AWS, Azure, or GCP, ensuring that the identity management is streamlined across platforms.
C: Support multiple external stages using one single Snowflake object - Storage integrations allow you to set up access configurations that can be reused across multiple external stages, simplifying the management of external data integrations.
D: Avoid supplying credentials when creating a stage or when loading or unloading data - By using a storage integration, Snowflake can interact with external storage without the need to continuously manage or expose sensitive credentials, enhancing security and ease of operations.
Reference: Snowflake documentation on storage integrations, found within the SnowPro Advanced: Architect course materials.

NEW QUESTION # 120
A healthcare company wants to share data with a medical institute. The institute is running a Standard edition of Snowflake; the healthcare company is running a Business Critical edition.
How can this data be shared?

A. Contact Snowflake and they will execute the share request for the healthcare company.
B. By default, sharing is supported from a Business Critical Snowflake edition to a Standard edition.
C. The healthcare company will need to change the institute's Snowflake edition in the accounts panel.
D. Set the share_restriction parameter on the shared object to false.

Answer: A

NEW QUESTION # 121
How can an Architect enable optimal clustering to enhance performance for different access paths on a given table?

A. Create multiple clustering keys for a table.
B. Create multiple materialized views with different cluster keys.
C. Create super projections that will automatically create clustering.
D. Create a clustering key that contains all columns used in the access paths.

Answer: B

Explanation:
According to the SnowPro Advanced: Architect documents and learning resources, the best way to enable optimal clustering to enhance performance for different access paths on a given table is to create multiple materialized views with different cluster keys. A materialized view is a pre-computed result set that is derived from a query on one or more base tables. A materialized view can be clustered by specifying a clustering key, which is a subset of columns or expressions that determines how the data in the materialized view is co-located in micro-partitions. By creating multiple materialized views with different cluster keys, an Architect can optimize the performance of queries that use different access paths on the same base table. For example, if a base table has columns A, B, C, and D, and there are queries that filter on A and B, or on C and D, or on A and C, the Architect can create three materialized views, each with a different cluster key: (A, B), (C, D), and (A, C). This way, each query can leverage the optimal clustering of the corresponding materialized view and achieve faster scan efficiency and better compression.
References:
* Snowflake Documentation: Materialized Views
* Snowflake Learning: Materialized Views
https://www.snowflake.com/blog/using-materialized-views-to-solve-multi-clustering-performance-problems/

NEW QUESTION # 122
......

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