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Snowflake ARA-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Engineering	25%	- Data Loading and Pipelines 1. Bulk and continuous data loading 2. Snowpipe and tasks 3. External stages and file formats 4. Streams and CDC - Data Transformation 1. Data modeling strategies 2. ETL and ELT design 3. Semi-structured data processing
Topic 2: Accounts and Security	25%	- Access Control and Authentication 1. Role-based access control 2. Network policies 3. Data masking and row access policies 4. SSO and MFA - Governance and Compliance 1. Data governance strategies 2. Encryption and security architecture 3. Object ownership and privilege management
Topic 3: Performance Optimization	20%	- Query Performance 1. Search optimization service 2. Query profiling and tuning 3. Materialized views 4. Caching strategies - Cost and Resource Optimization 1. Concurrency scaling 2. Resource monitors 3. Warehouse cost optimization
Topic 4: Snowflake Architecture	30%	- Storage and Compute Design 1. Micro-partitions and clustering 2. Warehouse sizing and scaling 3. Database and schema design - Platform Architecture Design 1. Organization and account structure 2. Data sharing architecture 3. Multi-account strategies 4. Cross-region and cross-cloud architecture

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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q130-Q135):

NEW QUESTION # 130
What integration object should be used to place restrictions on where data may be exported?

A. Security integration
B. Stage integration
C. API integration
D. Storage integration

Answer: D

NEW QUESTION # 131
What integration object should be used to place restrictions on where data may be exported?

A. Security integration
B. Stage integration
C. API integration
D. Storage integration

Answer: A

Explanation:
According to the SnowPro Advanced: Architect documents and learning resources, the integration object that should be used to place restrictions on where data may be exported is the security integration. A security integration is a Snowflake object that provides an interface between Snowflake and third-party security services, such as Okta, Duo, or Google Authenticator. A security integration can be used to enforce policies on data export, such as requiring multi-factor authentication (MFA) or restricting the export destination to a specific network or domain. A security integration can also be used to enable single sign-on (SSO) or federated authentication for Snowflake users1.
The other options are incorrect because they are not integration objects that can be used to place restrictions on where data may be exported. Option A is incorrect because a stage integration is not a valid type of integration object in Snowflake. A stage is a Snowflake object that references a location where data files are stored, such as an internal stage, an external stage, or a named stage. A stage is not an integration object that provides an interface between Snowflake and third-party services2. Option C is incorrect because a storage integration is a Snowflake object that provides an interface between Snowflake and external cloud storage, such as Amazon S3, Azure Blob Storage, or Google Cloud Storage. A storage integration can be used to securely access data files from external cloud storage without exposing the credentials, but it cannot be used to place restrictions on where data may be exported3. Option D is incorrect because an API integration is a Snowflake object that provides an interface between Snowflake and third-party services that use REST APIs, such as Salesforce, Slack, or Twilio. An API integration can be used to securely call external REST APIs from Snowflake using the CALL_EXTERNAL_API function, but it cannot be used to place restrictions on where data may be exported4. References: CREATE SECURITY INTEGRATION | Snowflake Documentation, CREATE STAGE | Snowflake Documentation, CREATE STORAGE INTEGRATION | Snowflake Documentation, CREATE API INTEGRATION | Snowflake Documentation

NEW QUESTION # 132
Consider the following scenario where a masking policy is applied on the CREDICARDND column of the CREDITCARDINFO table. The masking policy definition Is as follows:

Sample data for the CREDITCARDINFO table is as follows:
NAME EXPIRYDATE CREDITCARDNO
JOHN DOE 2022-07-23 4321 5678 9012 1234
if the Snowflake system rotes have not been granted any additional roles, what will be the result?

A. Anyone with the Pl_ANALYTICS role will see the last 4 characters of the CREDICARDND column data in dear text.
B. The owner of the table will see the CREDICARDND column data in clear text.
C. Anyone with the Pl_ANALYTICS role will see the CREDICARDND column as*** 'MASKED* **'.
D. The sysadmin can see the CREDICARDND column data in clear text.

Answer: C

Explanation:
The masking policy defined in the image indicates that if a user has the PI_ANALYTICS role, they will be able to see the last 4 characters of the CREDITCARDNO column data in clear text. Otherwise, they will see 'MASKED'. Since Snowflake system roles have not been granted any additional roles, they won't have the PI_ANALYTICS role and therefore cannot view the last 4 characters of credit card numbers.
To apply a masking policy on a column in Snowflake, you need to use the ALTER TABLE ... ALTER COLUMN command or the ALTER VIEW command and specify the policy name. For example, to apply the creditcardno_mask policy on the CREDITCARDNO column of the CREDITCARDINFO table, you can use the following command:
ALTER TABLE CREDITCARDINFO ALTER COLUMN CREDITCARDNO SET MASKING POLICY creditcardno_mask; For more information on how to create and use masking policies in Snowflake, you can refer to the following resources:
CREATE MASKING POLICY: This document explains the syntax and usage of the CREATE MASKING POLICY command, which allows you to create a new masking policy or replace an existing one.
Using Dynamic Data Masking: This guide provides instructions on how to configure and use dynamic data masking in Snowflake, which is a feature that allows you to mask sensitive data based on the execution context of the user.
ALTER MASKING POLICY: This document explains the syntax and usage of the ALTER MASKING POLICY command, which allows you to modify the properties of an existing masking policy.

NEW QUESTION # 133
What are some of the characteristics of result set caches? (Choose three.)

A. The retention period can be reset for a maximum of 31 days.
B. Time Travel queries can be executed against the result set cache.
C. The data stored in the result cache will contribute to storage costs.
D. The result set cache is not shared between warehouses.
E. Snowflake persists the data results for 24 hours.
F. Each time persisted results for a query are used, a 24-hour retention period is reset.

Answer: D,E,F

Explanation:
In Snowflake, the characteristics of result set caches include persistence of data results for 24 hours (B), each use of persisted results resets the 24-hour retention period (C), and result set caches are not shared between different warehouses (F). The result set cache is specifically designed to avoid repeated execution of the same query within this timeframe, reducing computational overhead and speeding up query responses. These caches do not contribute to storage costs, and their retention period cannot be extended beyond the default duration nor up to 31 days, as might be misconstrued.References: Snowflake Documentation on Result Set Caching.

NEW QUESTION # 134
An Architect clones a database and all of its objects, including tasks. After the cloning, the tasks stop running.
Why is this occurring?

A. The Architect has insufficient privileges to alter tasks on the cloned database.
B. The objects that the tasks reference are not fully qualified.
C. Cloned tasks are suspended by default and must be manually resumed.
D. Tasks cannot be cloned.

Answer: C

NEW QUESTION # 135
......

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