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| Certification Vendor: | Snowflake |
|---|---|
| Exam Name: | SnowPro Advanced: Architect Certification Exam |
| Exam Number: | ARA-C01 |
| Exam Duration: | 115 minutes |
| Exam Price: | $375 USD |
| Related Certifications: | SnowPro Core Certification |
| Certificate Validity Period: | 2 years |
| Exam Format: | Multiple choice, Multiple select |
| Real Exam Qty: | Approximately 65 |
| Passing Score: | 750 (scaled score out of 1000) |
| Available Languages: | English |
| Recommended Training: | Snowflake Training & Certification Learning Path |
| Exam Registration: | Snowflake Certification Portal |
| Sample Questions: | Snowflake ARA-C01 Sample Questions |
| Exam Way: | Online proctored exam |
| Pre Condition: | SnowPro Core Certification is strongly recommended and often expected before attempting the Advanced Architect exam |
| Official Syllabus URL: | https://www.snowflake.com/certification/ |
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Snowflake ARA-C01 Exam is a comprehensive test that covers a wide range of topics related to data warehousing, cloud computing, and data analytics. ARA-C01 exam is designed to evaluate the candidate's abilities to design and implement scalable and high-performance data warehouses, data lakes, and data pipelines using Snowflake's cloud data platform.
NEW QUESTION # 164
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).
Answer: C,E
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 # 165
A company needs to share its product catalog data with one of its partners. The product catalog data is stored in two database tables: product_category, and product_details. Both tables can be joined by the product_id column. Data access should be governed, and only the partner should have access to the records.
The partner is not a Snowflake customer. The partner uses Amazon S3 for cloud storage.
Which design will be the MOST cost-effective and secure, while using the required Snowflake features?
Answer: C
Explanation:
A reader account is a type of Snowflake account that allows external users to access data shared by a provider account without being a Snowflake customer. A reader account can be created and managed by the provider account, and can use the Snowflake web interface or JDBC/ODBC drivers to query the shared data. A reader account is billed to the provider account based on the credits consumed by the queries1. A secure view is a type of view that applies row-level security filters to the underlying tables, and masks the data that is not accessible to the user. A secure view can be shared with a reader account to provide granular and governed access to the data2. In this scenario, creating a reader account for the partner and sharing the data sets as secure views would be the most cost-effective and secure design, while using the required Snowflake features, because:
* It would avoid the data transfer and storage costs of using an S3 bucket as a destination, and the potential security risks of exposing the data to unauthorized access or modification.
* It would avoid the complexity and overhead of publishing the data sets on the Snowflake Marketplace, and the potential loss of control over the data ownership and pricing.
* It would avoid the need to create a database user for the partner and grant them access to the required data sets, which would require the partner to have a Snowflake account and consume the provider's resources.
References:
* Reader Accounts
* Secure Views
NEW QUESTION # 166
Which command do you run to remove files from stage?
Answer: C
NEW QUESTION # 167
An Architect with the ORGADMIN role wants to change a Snowflake account from an Enterprise edition to a Business Critical edition.
How should this be accomplished?
Answer: C
Explanation:
To change the edition of a Snowflake account, an organization administrator (ORGADMIN) cannot directly alter the account settings through SQL commands or the Snowflake interface. The proper procedure is to contact Snowflake Support to request an edition change for the account. This ensures that the change is managed correctly and aligns with Snowflake's operational protocols.
References: This process is outlined in the Snowflake documentation, which specifies that changes to an account's edition should be facilitated through Snowflake Support1.
NEW QUESTION # 168
What are characteristics of the use of transactions in Snowflake? (Select TWO).
Answer: A,C
Explanation:
In Snowflake, a transaction is a sequence of SQL statements that are processed as an atomic unit. All statements in the transaction are either applied (i.e. committed) or undone (i.e. rolled back) together. Snowflake transactions guarantee ACID properties. A transaction can include both reads and writes1.
Explicit transactions are transactions that are started and ended explicitly by using the BEGIN TRANSACTION, COMMIT, and ROLLBACK statements. Snowflake supports the synonyms BEGIN WORK and BEGIN TRANSACTION, and COMMIT WORK and ROLLBACK WORK. Explicit transactions can contain DDL, DML, and query statements. However, explicit transactions should contain only DML statements and query statements, because DDL statements implicitly commit active transactions. This means that any changes made by the previous statements in the transaction are applied, and any changes made by the subsequent statements in the transaction are not part of the same transaction1.
The other options are not correct because:
B) The autocommit setting can be changed inside a stored procedure, but this does not affect the use of transactions in Snowflake. The autocommit setting determines whether each statement is executed in its own implicit transaction or not. If autocommit is enabled, each statement is committed automatically. If autocommit is disabled, each statement is executed in an implicit transaction until an explicit COMMIT or ROLLBACK is issued. Changing the autocommit setting inside a stored procedure only affects the statements within the stored procedure, and does not affect the statements outside the stored procedure2.
C) A transaction can be started explicitly by executing a BEGIN WORK statement and end explicitly by executing a COMMIT WORK statement, but this is not a characteristic of the use of transactions in Snowflake. This is just one way of writing the statements that start and end an explicit transaction. Snowflake also supports the synonyms BEGIN TRANSACTION and COMMIT, which are recommended over BEGIN WORK and COMMIT WORK1.
D) A transaction can be started explicitly by executing a BEGIN TRANSACTION statement and end explicitly by executing an END TRANSACTION statement, but this is not a valid syntax in Snowflake. Snowflake does not support the END TRANSACTION statement. The correct way to end an explicit transaction is to use the COMMIT or ROLLBACK statement1.
Reference:
1: Transactions | Snowflake Documentation
2: AUTOCOMMIT | Snowflake Documentation
NEW QUESTION # 169
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