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ADA-C01 Valid Test Prep | ADA-C01 Latest Study Notes
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Snowflake ADA-C01 Exam Syllabus Topics:
Topic
Details
Topic 1
- Manage and implement data sharing
- Given a set of business requirements, establish access control architecture
Topic 2
- Interpret and make recommendations for data clustering
- Manage DML locking and concurrency in Snowflake
Topic 3
- Given a scenario, configure access controls
- Set up and manage security administration and authorization
Topic 4
- Given a scenario, manage databases, tables, and views
- Manage organizations and access control
Topic 5
- Given a scenario, create and manage access control
- Given a scenario, implement resource monitors
Topic 6
- Set up and manage network and private connectivity
- Given a scenario, manage Snowflake Time Travel and Fail-safe
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Snowflake SnowPro Advanced Administrator Sample Questions (Q11-Q16):
NEW QUESTION # 11
What role or roles should be used to properly create the object required to setup OAuth 2.0 integration?
- A. ACCOUNTADMIN only
- B. Any role with GRANT USAGE on SECURITY INTEGRATION
- C. ACCOUNTADMIN and SECURITYADMIN
- D. ACCOUNTADMIN and SYSADMIN
Answer: A
Explanation:
Explanation
According to the Using OAuth 2.0 with Snowflake - Blog, only the ACCOUNTADMIN role can create and manage integrations, so an administrator must assume that role when creating a security integration for OAuth.
The other roles do not have the necessary privileges to create the object required to setup OAuth 2.0 integration.
NEW QUESTION # 12
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. 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. Move all the Snowflake accounts to a single region, and implement data sharing.
Answer: A
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 # 13
A Snowflake organization MYORG consists of two Snowflake accounts:
The ACCOUNT1 has a database PROD_DB and the ORGADMIN role enabled.
Management wants to have the PROD_DB database replicated to ACCOUNT2.
Are there any necessary configuration steps in ACCOUNT1 before the database replication can be configured and initiated in ACCOUNT2?
- A. No configuration steps are necessary in ACCOUNT1. Replicating databases across accounts within the same Snowflake organization is enabled by default.
- B. USE ROLE ORGADMIN;
SELECT SYSTEMSGLOBAL_ACCOUNT_SET_PARAMETER ('MYORG. ACCOUNT1',
'ENABLE_ACCOUNT_DATABASE_REPLICATION', 'TRUE');
SELECT SYSTEMSGLOBAL_ACCOUNT_SET_PARAMETER ('MYORG. ACCOUNT2',
'ENABLE_ACCOUNT_DATABASE_REPLICATION', 'TRUE');
USE ROLE ACCOUNTADMIN;
ALTER DATABASE PROD DB ENABLE REPLICATION TO ACCOUNTS MYORG. ACCOUNT2; - C. USE ROLE ORGADMIN;
SELECT SYSTEMSGLOBAL ACCOUNT SET_PARAMETER ( 'MYORG. ACCOUNT1',
'ENABLE_ACCOUNT_DATABASE_REPLICATION', 'TRUE');
USE ROLE ACCOUNTADMIN;
ALTER DATABASE PROD_DB ENABLE REPLICATION TO ACCOUNTS MYORG. ACCOUNT2
IGNORE EDITION CHECK; - D. It is not possible to replicate a database from an Enterprise edition Snowflake account to a Standard edition Snowflake account.
Answer: C
Explanation:
Explanation
According to the Snowflake documentation1, database replication across accounts within the same organization requires the following steps:
*Link the accounts in the organization using the ORGADMIN role.
*Enable account database replication for both the source and target accounts using the SYSTEM$GLOBAL_ACCOUNT_SET_PARAMETER function.
*Promote a local database to serve as the primary database and enable replication to the target accounts using the ALTER DATABASE ... ENABLE REPLICATION TO ACCOUNTS command.
*Create a secondary database in the target account using the CREATE DATABASE ... FROM SHARE command.
*Refresh the secondary database periodically using the ALTER DATABASE ... REFRESH command.
Option A is incorrect because it does not include the step of creating a secondary database in the target account. Option C is incorrect because replicating databases across accounts within the same organization is not enabled by default, but requires enabling account database replication for both the source and target accounts. Option D is incorrect because it is possible to replicate a database from an Enterprise edition Snowflake account to a Standard edition Snowflake account, as long as the IGNORE EDITION CHECK option is used in the ALTER DATABASE ... ENABLE REPLICATION TO ACCOUNTS command2.
Option B is correct because it includes all the necessary configuration steps in ACCOUNT1, except for creating a secondary database in ACCOUNT2, which can be done after the replication is enabled.
NEW QUESTION # 14
An Administrator receives data from a Snowflake partner. The partner is sharing a dataset that contains multiple secure views. The Administrator would like to configure the data so that only certain roles can see certain secure views.
How can this be accomplished?
- A. Clone the data and insert it into a company-owned share and apply the desired RBAC on the new tables.
- B. Apply RBAC directly onto the partner's shared secure views.
- C. Create views over the incoming shared database and apply the desired RBAC onto these views.
- D. Individually grant imported privileges onto the schema in the share.
Answer: C
Explanation:
Explanation
According to the Snowflake documentation1, secure views are only exposed to authorized users who have been granted the role that owns the view. Therefore, applying RBAC directly onto the partner's shared secure views (option A) is not possible, as the administrator does not own those views. Individually granting imported privileges onto the schema in the share (option B) is also not feasible, as the privileges granted on the schema do not apply to existing secure views, only tofuture ones2. Cloning the data and inserting it into a company-owned share (option C) is not recommended, as it would create unnecessary duplication of data and increase storage costs. The best option is to create views over the incoming shared database and apply the desired RBAC onto these views (option D). This way, the administrator can control the access to the data based on the roles in their account, without modifying the original data or views from the partner.
NEW QUESTION # 15
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. Assign additional clusters to the virtual warehouse.
- C. Prevent the virtual warehouse from suspending between the running of the first and second queries.
- D. Increase the STATEMENT_TIMEOUT_IN_SECONDS parameter in the session.
Answer: A
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/user-guide/querying-persisted-results
NEW QUESTION # 16
......
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