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Snowflake ADA-C01 Exam Syllabus Topics:
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Snowflake SnowPro Advanced Administrator Sample Questions (Q61-Q66):
NEW QUESTION # 61
What roles can be used to create network policies within Snowflake accounts? (Select THREE).
- A. ACCOUNTADMIN
- B. SYSADMIN
- C. SECURITYADMIN
- D. Any role that owns the database where the network policy is created
- E. ORGADMIN
- F. Any role with the global permission of CREATE NETWORK POLICY
Answer: A,C,F
NEW QUESTION # 62
A large international company with many operating regions requires data to be shared bi-directionally among all offices (head office to regional offices and regional offices among themselves). This company is a Snowflake account holder with European operations deployed in Microsoft Azure (single region) while North American regional offices are using AWS (single region) as their deployment cloud. This setup is required to comply with Personal Identifiable Information (PII) regulations in some of the European countries. The corporate head office is in Europe.
How can this data be shared bi-directionally, while MINIMIZING costs?
- A. Use bi-directional data sharing among offices in the same region and replication among offices across the continents.
- B. Use data replication everywhere to reduce costs associated with same-region sharing.
- C. Move all the Snowflake accounts to a single region, and implement data sharing.
- D. Use the PUT command to move files to an Amazon S3 bucket and Azure Blobs, and use an external file management application to move files within the corporate VPC.
Answer: A
Explanation:
According to the Snowflake documentation1, data sharing is a feature that allows sharing selected objects in a database in one account with other accounts in the same organization, without copying or transferring any data. Data sharing is supported across regions and across cloud platforms, but it requires enabling account database replication for both the source and target accounts2. Data replication is a feature that allows replicating objects from a source account to one or more target accounts in the same organization, providing read-only access for the replicated objects. Data replication is also supported across regions and across cloud platforms, but it incurs additional storage costs for the replicated data2. Therefore, the best way to share data bi-directionally among all offices, while minimizing costs, is to use data sharing among offices in the same region, which does not require replication or additional storage, and use replication among offices across the continents, which provides near real-time access to the shared data. Option A is incorrect because using data replication everywhere would increase the costs associated with additional storage and compute resources for the replicated data. Option B is incorrect because using the PUT command to move files to an Amazon S3 bucket and Azure Blobs, and using an external file management application to move files within the corporate VPC, would not leverage the benefits of Snowflake's data sharing and replication features, and would also incur additional costs and complexity for data transfer and synchronization. Option C is incorrect because moving all the Snowflake accounts to a single region would violate the PII regulations in some of the European countries, and would also incur additional costs and complexity for data migration and consolidation.
NEW QUESTION # 63
An Administrator needs to implement an access control mechanism across an organization. The organization users access sensitive customer data that comes from different regions and needs to be accessible for Analysts who work in these regions. Some Analysts need very specific access control depending on their functional roles in the organization. Following Snowflake recommended practice, how should these requirements be met? (Select TWO).
- A. Use a third-party tool to share the data.
- B. Include masking rules as part of data ingestion and transformation pipelines.
- C. Implement row access policies and Dynamic Data Masking policies.
- D. Use zero-copy cloning to replicate the database schema and provide access as needed.
- E. Implement views on top of base tables that exclude or mask sensitive data.
Answer: C,E
Explanation:
The scenario describes a need for fine-grained access control over sensitive customer data across multiple regions, with functional-role-based access for analysts. Snowflake recommends applying a layered security model that separates raw data from user-facing access and leverages built-in policy features.
Explanation of Correct Answers:
A . Implement views on top of base tables that exclude or mask sensitive data.
Creating secure views allows administrators to abstract sensitive fields or filter out certain rows and columns.
It enables role-based access control by granting specific roles access only to the secure views.
Common practice is to restrict access to base tables and give users access to views that enforce business logic and data access rules.
B . Implement row access policies and Dynamic Data Masking policies.
Row Access Policies control access at the row level, determining what data a user can see based on their role or session context.
Dynamic Data Masking allows you to mask sensitive column data (like PII) dynamically based on the accessing role.
Both are central features of Snowflake's fine-grained access control.
Why the other options are incorrect:
C . Include masking rules as part of data ingestion and transformation pipelines.
This is not a Snowflake-recommended best practice for access control.
It hardcodes data access rules into ETL/ELT logic, which reduces flexibility and central control.
Also, it masks the data permanently at ingestion time, rather than dynamically at query time.
D . Use a third-party tool to share the data.
Snowflake supports native Secure Data Sharing, and using a third-party tool is unnecessary and introduces complexity.
It does not address row/column-level access control within Snowflake itself.
E . Use zero-copy cloning to replicate the database schema and provide access as needed.
Zero-copy cloning is ideal for testing, development, and backup purposes, not for controlling access.
It duplicates metadata but doesn't provide a mechanism for fine-grained, real-time access control.
SnowPro Administrator Reference:
Row Access Policies Overview
Dynamic Data Masking Overview
Access Control Best Practices
Using Secure Views for Access Control
NEW QUESTION # 64
A Snowflake account is configured with SCIM provisioning for user accounts and has bi-directional synchronization for user identities. An Administrator with access to SECURITYADMIN uses the Snowflake UI to create a user by issuing the following commands:
use role USERADMIN;
create or replace role DEVELOPER_ROLE;
create user PTORRES PASSWORD = 'hello world!' MUST_CHANGE_PASSWORD = FALSE default_role = DEVELOPER_ROLE; The new user named PTORRES successfully logs in, but sees a default role of PUBLIC in the web UI. When attempted, the following command fails:
use DEVELOPER_ROLE;
Why does this command fail?
- A. The DEVELOPER_ROLE needs to be granted to SYSADMIN before user PTORRES will be able to use the role.
- B. USERADMIN needs to explicitly grant the DEVELOPER_ROLE to the new USER.
- C. The new role will only take effect once the identity provider has synchronized by way of SCIM with the Snowflake account.
- D. The new role can only take effect after USERADMIN has logged out.
Answer: B
Explanation:
According to the Snowflake documentation1, creating a user with a default role does not automatically grant that role to the user. The user must be explicitly granted the role by the role owner or a higher-level role. Therefore, the USERADMIN role, which created the DEVELOPER_ROLE, needs to explicitly grant the DEVELOPER_ROLE to the new user PTORRES using the GRANT ROLE command. Otherwise, the user PTORRES will not be able to use the DEVELOPER_ROLE and will see the default role of PUBLIC in the web UI. Option A is incorrect because the DEVELOPER_ROLE does not need to be granted to SYSADMIN before user PTORRES can use the role. Option B is incorrect because the new role can take effect immediately after it is created and granted to the user, and does not depend on the USERADMIN role logging out. Option D is incorrect because the new role will not be affected by the identity provider synchronization, as it is created and managed in Snowflake.
NEW QUESTION # 65
An Administrator needs to create a sample of the table LINEITEM. The sample should not be repeatable and the sampling function should take the data by blocks of rows.
What select command will generate a sample of 20% of the table?
- A. select * from LINEITEM sample system (20);
- B. select * from LINEITEM sample bernoulli (20);
- C. select * from LINEITEM tablesample block (20 rows);
- D. select * from LINEITEM tablesample system (20) seed (1);
Answer: A
Explanation:
This command will generate a sample of 20% of the table by using the SYSTEM (or BLOCK) sampling method, which selects each block of rows with a probability of 20/100. This method is suitable for taking data by blocks of rows, as the question requires. According to the Snowflake documentation, "SYSTEM (or BLOCK): Includes each block of rows with a probability of p/100. Similar to flipping a weighted coin for each block of rows. This method does not support fixed-size sampling." The other options are either incorrect or do not meet the requirements of the question. Option A uses the BERNOULLI (or ROW) sampling method, which selects each row with a probability of 20/100, but does not take data by blocks of rows. Option C uses the BLOCK sampling method, but specifies a fixed number of rows (20) instead of a percentage (20%). Option D uses the SYSTEM sampling method, but specifies a seed value (1), which makes the sampling repeatable, contrary to the question.
NEW QUESTION # 66
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