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Test ADA-C01 Simulator Online | Top ADA-C01 Dumps
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Snowflake ADA-C01 Exam Syllabus Topics:| Topic | Details | | Topic 1 | - Account Management and Data Governance: This section of the exam measures the skills of Data Governance Managers and Database Administrators and covers account organization, access control, and regulatory data protection. Candidates will learn how to manage organizational accounts, encryption keys, and Tri-Secret Secure implementations. It focuses on applying best practices in ORGADMIN and ACCOUNTADMIN roles, implementing masking and row access policies, and performing data classification and tagging. The domain also emphasizes data auditing, account identifiers, and effective management of tables, views, and query operations to support enterprise-wide governance standards.
| | Topic 2 | - Disaster Recovery, Backup, and Data Replication: This section of the exam measures the skills of Disaster Recovery Engineers and Cloud Operations Managers and covers Snowflake methods for ensuring business continuity. Candidates must understand how to replicate databases and account-level objects, implement failover strategies, and perform backup and restoration through Time Travel and Fail-safe features. The domain emphasizes replication across accounts, handling data consistency during failover, and applying cost-efficient disaster recovery strategies to maintain availability during outages or regional failures.
| | Topic 3 | - Data Sharing, Data Exchange, and Snowflake Marketplace: This section of the exam measures the skills of Data Integration Specialists and Data Platform Administrators and covers managing and implementing data-sharing solutions within Snowflake. It evaluates understanding of data sharing models across regions and clouds, secure data sharing methods, and managing provider-consumer relationships. The domain also includes the use of Snowflake Data Exchange and Marketplace to publish, consume, and manage data listings, ensuring secure collaboration and efficient data monetization.
| | Topic 4 | - Performance Monitoring and Tuning: This section of the exam measures the skills of Cloud Infrastructure Engineers and Performance Analysts and focuses on optimizing Snowflake compute and storage resources. Candidates will need to understand how to configure and manage virtual warehouses, evaluate query profiles, and apply caching and clustering strategies for performance tuning. It also includes monitoring concurrency, resource utilization, and implementing cost optimization strategies. The ability to interpret, explain plans, apply search optimization, and manage cost controls is key for maintaining efficient Snowflake environments.
| | Topic 5 | - Snowflake Security, Role-Based Access Control (RBAC), and User Administration: This section of the exam measures the skills of Snowflake Administrators and Cloud Security Engineers and covers authentication, access control, and network management in Snowflake. Candidates must understand how to configure authentication methods such as SSO, MFA, OAuth, and key-pair authentication, and how to manage network policies and private connectivity. The domain also tests knowledge of user and role management using SCIM, designing access control architecture, and applying the RBAC framework to ensure secure user authorization and data protection within Snowflake environments.
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Snowflake SnowPro Advanced Administrator Sample Questions (Q42-Q47):NEW QUESTION # 42
A company's Snowflake account has multiple roles. Each role should have access only to data that resides in the given role's specific region.
When creating a row access policy, which code snippet below will provide privileges to the role ALL_ACCESS_ROLE to see all rows regardless of region, while the other roles can only see rows for their own regions?
- A. create or replace row access policy region policy as (region_value varchar) returns boolean ->
'ALL ACCESS_ROLE' = current_role ()
and exists (
select 1 from entitlement_table
where role = current_role ()
and region = region_value
) - B. create or replace row access policy region policy as (region_value varchar) returns boolean ->
'ALL_ACCESS_ROLE' = current_role ()
or exists (
select 1 from entitlement_table
where role = current_role ()
and region = region_value
) - C. create or replace row access policy region policy as (region_value varchar) returns boolean -> exists ( select 1 from entitlement_table where role = current_role () and region = region_value )
- D. create or replace row access policy region policy as (region_value varchar) returns boolean ->
'ALL ACCESS ROLE' = current_role ()
)
Answer: B
Explanation:
Explanation
This code snippet will create a row access policy that returns true if the current role is ALL_ACCESS_ROLE or if the current role matches the region value in the entitlement_table. This means that the ALL_ACCESS_ROLE can see all rows regardless of region, while the other roles can only see rows for their own regions. According to the Snowflake documentation, the CURRENT_ROLE context function returns the name of the current role for the session. The EXISTS function returns true if the subquery returns any rows.
The OR operator returns true if either operand is true. Therefore, this code snippet satisfies the requirements of the question.
NEW QUESTION # 43
What roles can be used to create network policies within Snowflake accounts? (Select THREE).
- A. Any role with the global permission of CREATE NETWORK POLICY
- B. SYSADMIN
- C. SECURITYADMIN
- D. ORGADMIN
- E. Any role that owns the database where the network policy is created
- F. ACCOUNTADMIN
Answer: A,C,F
Explanation:
Explanation
Network policies are used to restrict access to the Snowflake service and internal stages based on user IP address1. To create network policies, a role must have the global permission of CREATE NETWORK POLICY2. By default, the system-defined roles of SECURITYADMIN and ACCOUNTADMIN have this permission3. However, any other role can be granted this permission by an administrator4. Therefore, the answer is B, C, and E. The other options are incorrect because SYSADMIN and ORGADMIN do not have the CREATE NETWORK POLICY permission by default3, and network policies are not tied to specific databases5.
NEW QUESTION # 44
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 data replication everywhere to reduce costs associated with same-region sharing.
- B. Move all the Snowflake accounts to a single region, and implement data sharing.
- C. 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.
- D. Use bi-directional data sharing among offices in the same region and replication among offices across the continents.
Answer: D
Explanation:
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 # 45
A Snowflake user runs a complex SQL query on a dedicated virtual warehouse that reads a large amount of data from micro-partitions. The same user wants to run another query that uses the same data set.
Which action would provide optimal performance for the second SQL query?
- A. Use the RESULT_SCAN function to post-process the output of the first query.
- B. Increase the STATEMENT_TIMEOUT_IN_SECONDS parameter in the session.
- C. Prevent the virtual warehouse from suspending between the running of the first and secondqueries.
- D. Assign additional clusters to the virtual warehouse.
Answer: A
Explanation:
Explanation
According to the Using Persisted Query Results documentation, the RESULT_SCAN function allows you to query the result set of a previous command as if it were a table. This can improve the performance of the second query by avoiding reading the same data from micro-partitions again. The other actions do not provide optimal performance for the second query because:
*Assigning additional clusters to the virtual warehouse does not affect the data access speed, but only the query execution speed. It also increases the cost of the warehouse.
*Increasing the STATEMENT_TIMEOUT_IN_SECONDS parameter in the session does not improve the performance of the query, but only allows it to run longer before timing out. It also increases the risk of resource contention and deadlock.
*Preventing the virtual warehouse from suspending between the running of the first and second queries does not guarantee that the data will be cached in memory, as Snowflake uses a least recently used (LRU) cache eviction policy. It also increases the cost of the warehouse.
https://docs.snowflake.com/en/us ... g-persisted-results
NEW QUESTION # 46
Which function is the role SECURITYADMIN responsible for that is not granted to role USERADMIN?
- A. Create new roles
- B. Reset a Snowflake user's password
- C. Create new users
- D. Manage system grants
Answer: D
Explanation:
Explanation
According to the Snowflake documentation1, the SECURITYADMIN role is responsible for managing all grants on objects in the account, including system grants. The USERADMIN role can only create and manage users and roles, but not grant privileges on other objects. Therefore, the function that is unique to the SECURITYADMIN role is to manage system grants. Option A is incorrect because both roles can reset a user's password. Option C is incorrect because both roles can create new users. Option D is incorrect because both roles can create new roles.
NEW QUESTION # 47
......
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