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Cert ADA-C01 Exam | ADA-C01 Real Torrent
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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 | - 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.
| | Topic 5 | - 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.
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Snowflake SnowPro Advanced Administrator Sample Questions (Q19-Q24):NEW QUESTION # 19
A Snowflake Administrator has a multi-cluster virtual warehouse and is using the Snowflake Business Critical edition. The minimum number of clusters is set to 2 and the maximum number of clusters is set to 10. This configuration works well for the standard workload, rarely exceeding 5 running clusters. However, once a month the Administrator notes that there are a few complex long-running queries that are causing increased queue time and the warehouse reaches its maximum limit at 10 clusters.
Which solutions will address the issues happening once a month? (Select TWO).
- A. Examine the complex queries and determine if they can be made more efficient usingclustering keys or materialized views.
- B. Use a task to increase the cluster size for the time period that the more complex queries are running and another task to reduce the size of the cluster once the complex queries complete.
- C. Have the group running the complex monthly queries use a separate appropriately-sized warehouse to support their workload.
- D. Increase the minimum number of clusters started in the multi-cluster configuration to 5.
- E. Increase the multi-cluster maximum to 20 or more clusters.
Answer: B,C
Explanation:
Explanation
According to the Snowflake documentation1, a multi-cluster warehouse is a virtual warehouse that consists of multiple clusters of compute resources that can scale up or down automatically to handle the concurrency and performance needs of the queries submitted to the warehouse. A multi-cluster warehouse has a minimum and maximum number of clusters that can be specified by the administrator. Option A is a possible solution to address the issues happening once a month, as it allows the administrator to use a task to increase the cluster size for the time period that the more complex queries are running and another task to reduce the size of the cluster once the complex queries complete. This way, the warehouse can have more resources available to handle the complex queries without reaching the maximum limit of 10 clusters, and then return to the normal cluster size to save costs. Option B is another possible solution to address the issues happening once a month, as it allows the administrator to have the group running the complex monthly queries use a separate appropriately-sized warehouse to support their workload. This way, the warehouse can isolate the complex queries from the standard workload and avoid queue time and resource contention. Option C is not a recommended solution to address the issues happening once a month, as it would increase the costs and complexity of managing the multi-cluster warehouse, and may not solve the underlying problem of inefficient queries. Option D is a good practice to improve the performance of the queries, but it is not a direct solution to address the issues happening once a month, as it requires analyzing and optimizing the complex queries using clustering keys or materialized views, which may not be feasible or effective in all cases. Option E is not a recommended solution to address the issues happening once a month, as it would increase the costs and waste resources by starting more clusters than needed for the standard workload.
NEW QUESTION # 20
What roles can be used to create network policies within Snowflake accounts? (Select THREE).
- A. SYSADMIN
- B. Any role with the global permission of CREATE NETWORK POLICY
- C. SECURITYADMIN
- D. ORGADMIN
- E. Any role that owns the database where the network policy is created
- F. ACCOUNTADMIN
Answer: B,C,F
NEW QUESTION # 21
When does auto-suspend occur for a multi-cluster virtual warehouse?
- A. Auto-suspend does not apply for multi-cluster warehouses.
- B. When the minimum number of clusters is running and there is no activity for the specified period of time.
- C. After a specified period of time when an additional cluster has started on the maximum number of clusters specified for a warehouse.
- D. When there has been no activity on any cluster for the specified period of time.
Answer: B
Explanation:
Explanation
According to the Multi-cluster Warehouses documentation, auto-suspend is a feature that allows a warehouse to automatically suspend itself after a specified period of inactivity. For a multi-cluster warehouse, auto-suspend applies to the entire warehouse, not to individual clusters. Therefore, auto-suspend occurs when the minimum number of clusters is running and there is no activity for the specified period of time. The other options are incorrect because:
*A. Auto-suspend does not occur when there has been no activity on any cluster for the specified period of time. This would imply that each cluster has its own auto-suspend timer, which is not the case. The warehouse has a single auto-suspend timer that is reset by any activity on any cluster.
*B. Auto-suspend does not occur after a specified period of time when an additional cluster has started on the maximum number of clusters specified for a warehouse. This would imply that the auto-suspend timer is affected by the number of clusters running, which is not the case. The auto-suspend timer is only affected by the activity on the warehouse, regardless of the number of clusters running.
*D. Auto-suspend does apply for multi-cluster warehouses, as explained above. It is a feature that can be enabled or disabled for any warehouse, regardless of the number of clusters.
NEW QUESTION # 22
Which statement allows this user to access this Snowflake account from a specific IP address (192.168.1.100) while blocking their access from anywhere else?
- A. CREATE NETWORK POLICY ADMIN_POLICY
ALLOWED IP LIST = ('192.168.1.100')
BLOCKED_IP_LIST = ('0.0.0.0/0');
ALTER USER ABC SET NETWORK_POLICY = 'ADMIN_POLICY'; - B. CREATE NETWORK POLICY ADMIN_POLICY
ALLOWED_IP_LIST = ('192.168.1.100');
ALTER USER ABC SET NETWORK_POLICY = 'ADMIN_POLICY';
User ABC is the only user with an ACCOUNTADMIN role. - C. CREATE NETWORK POLICY ADMIN POLICY
ALLOWED_IP_LIST = ('192.168.1.100');
ALTER ROLE ACCOUNTADMIN SET NETWORK_POLICY = 'ADMIN_POLICY'; - D. CREATE OR REPLACE NETWORK POLICY ADMIN_POLICY
ALLOWED_IP_LIST = ('192.168. 1. 100/0') ;
ALTER USER ABC SET NETWORK_POLICY = 'ADMIN_POLICY';
Answer: A
Explanation:
Option C creates a network policy that allows only the IP address 192.168.1.100 and blocks all other IP addresses using the CIDR notation 0.0.0.0/01. It then applies the network policy to the user ABC, who has the ACCOUNTADMIN role. This ensures that only this user can access the Snowflake account from the specified IP address, while blocking their access from anywhere else. Option A does not block any other IP addresses, option B applies the network policy to the role instead of the user, and option D uses an invalid CIDR notation.
NEW QUESTION # 23
When a role is dropped, which role inherits ownership of objects owned by the dropped role?
- A. The role executing the command
- B. The role above the dropped role in the RBAC hierarchy
- C. The SYSADMIN role
- D. The SECURITYADMIN role
Answer: B
Explanation:
According to the Snowflake documentation1, when a role is dropped, ownership of all objects owned by the dropped role is transferred to the role that is directly above the dropped role in the role hierarchy. This is to ensure that there is always a single owner for each object in the system.
1: Drop Role | Snowflake Documentation
NEW QUESTION # 24
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