2025 Reliable ADA-C01 Test Question | Pass-Sure ADA-C01 Real Sheets: SnowPro Advanced Administrator

What's more, part of that TestValid ADA-C01 dumps now are free: https://drive.google.com/open?id=1C3f3ktc0j9dYgZ_obC0rgR_fvK4j9ilM

You should prepare with TestValid ADA-C01 Questions that are in compliance with ADA-C01 exam content. More than 90,000 professionals worldwide have provided their feedback, helping create and launch ADA-C01 questions in the market. So, if you're determined to pass the Snowflake exam and achieve ADA-C01 Certification to accelerate your career, it's time to build your knowledge and skills. You can try the demo version of SnowPro Advanced Administrator (ADA-C01) practice dumps before payment.

Snowflake ADA-C01 Exam Syllabus Topics:

Topic	Details
Topic 1	Implement and manage data governance in Snowflake Data Sharing, Data Exchange, and Snowflake Marketplace
Topic 2	Given a scenario, configure access controls Set up and manage security administration and authorization
Topic 3	Given a scenario, manage databases, tables, and views Manage organizations and access control
Topic 4	Snowflake Security, Role-Based Access Control (RBAC), and User Administration Disaster Recovery, Backup, and Data Replication
Topic 5	Manage and implement data sharing Given a set of business requirements, establish access control architecture

>> Reliable ADA-C01 Test Question <<

Snowflake ADA-C01 Real Sheets - ADA-C01 Latest Test Format

If you want to inspect the quality of our ADA-C01 Study Dumps, you can download our free dumps from TestValid and go through them. The unique questions and answers will definitely impress you with the information packed in them and it will help you to take a decision in their favor. The high quality and high pass rate has bbecome a reason for thousand of candidates to choose.

Snowflake SnowPro Advanced Administrator Sample Questions (Q60-Q65):

NEW QUESTION # 60
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. Move all the Snowflake accounts to a single region, and implement data sharing.
B. Use bi-directional data sharing among offices in the same region and replication among offices across the continents.
C. Use data replication everywhere to reduce costs associated with same-region 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: B

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 # 61
A retailer uses a TRANSACTIONS table (100M rows, 1.2 TB) that has been clustered by the STORE_ID column (varchar(50)). The vast majority of analyses on this table are grouped by STORE_ID to look at store performance.
There are 1000 stores operated by the retailer but most sales come from only 20 stores. The Administrator notes that most queries are currently experiencing poor pruning, with large amounts of bytes processed by even simple queries.
Why is this occurring?

A. The cardinality of the stores to transaction count ratio is too low to use the STORE_ID as a clustering key.
B. Sales across stores are not uniformly distributed.
C. The table is not big enough to take advantage of the clustering key.
D. The STORE_ID should be numeric.

Answer: B

Explanation:
According to the Snowflake documentation1, clustering keys are most effective when the data is evenly distributed across the key values. If the data is skewed, such as in this case where most sales come from only 20 stores out of 1000, then the micro-partitions will not be well-clustered and the pruning will be poor. This means that more bytes will be scanned by queries, even if they filter by STORE_ID. Option A is incorrect because the data type of the clustering key does not affect the pruning. Option B is incorrect because the table is large enough to benefit from clustering, if the data was more balanced. Option D is incorrect because the cardinality of the clustering key is not relevant for pruning, as long as the key values are distinct.
1: Considerations for Choosing Clustering for a Table | Snowflake Documentation

NEW QUESTION # 62
A user has enrolled in Multi-factor Authentication (MFA) for connecting to Snowflake. The user informs the Snowflake Administrator that they lost their mobile phone the previous evening.
Which step should the Administrator take to allow the user to log in to the system, without revoking their MFA enrollment?

A. Alter the user and set MINS TO BYPASS MFA to a value that will disable MFA long enough for the user to log in.
B. Instruct the user to connect to Snowflake using SnowSQL, which does not support MFA authentication.
C. Instruct the user to append the normal URL with /?mode=mfa_bypass&code= to log on.
D. Alter the user and set DISABLE_MFA to true, which will suspend the MFA requirement for 24 hours.

Answer: A

Explanation:
Explanation
The MINS_TO_BYPASS_MFA property allows the account administrator to temporarily disable MFA for a user who has lost their phone or changed their phone number1. The user can log in without MFA for the specified number of minutes, and then re-enroll in MFA using their new phone1. This does not revoke their MFA enrollment, unlike the DISABLE_MFA property, which cancels their enrollment and requires them to re-enroll from scratch1. The other options are not valid ways to bypass MFA, as SnowSQL does support MFA authentication2, and there is no such URL parameter as /?mode=mfa_bypass&code= for Snowflake3

NEW QUESTION # 63
The following SQL command was executed:
Use role SECURITYADMIN;
Grant ownership
On future tables
In schema PROD. WORKING
To role PROD_WORKING_OWNER;
Grant role PROD_WORKING_OWNER to role SYSADMIN;
Use role ACCOUNTADMIN;
Create table PROD.WORKING.XYZ (value number) ;
Which role(s) can alter or drop table XYZ?

A. Only the PROD_WORKING_OWNER role can alter or drop table XYZ.
B. Because ACCOUNTADMIN created the table, only the ACCOUNTADMIN role can alter or drop table XYZ.
C. SECURITYADMIN, SYSADMIN, and ACCOUNTADMIN can alter or drop table XYZ.
D. PROD_WORKING_OWNER, ACCOUNTADMIN, and SYSADMIN can alter or drop table XYZ.

Answer: D

Explanation:
According to the GRANT OWNERSHIP documentation, the ownership privilege grants full control over the table and can only be held by one role at a time. However, the current owner can also grant the ownership privilege to another role, which transfers the ownership to the new role. In this case, the SECURITYADMIN role granted the ownership privilege on future tables in the PROD.WORKING schema to the PROD_WORKING_OWNER role. This means that any table created in that schema after the grant statement will be owned by the PROD_WORKING_OWNER role. Therefore, the PROD_WORKING_OWNER role can alter or drop table XYZ, which was created by the ACCOUNTADMIN role in the PROD.WORKING schema. Additionally, the ACCOUNTADMIN role can also alter or drop table XYZ, because it is the top-level role that has all privileges on all objects in the account. Furthermore, the SYSADMIN role can also alter or drop table XYZ, because it was granted the PROD_WORKING_OWNER role by the SECURITYADMIN role. The SYSADMIN role can activate the PROD_WORKING_OWNER role and inherit its privileges, including the ownership privilege on table XYZ. The SECURITYADMIN role cannot alter or drop table XYZ, because it does not have the ownership privilege on the table, nor does it have the PROD_WORKING_OWNER role.

NEW QUESTION # 64
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. 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.
B. Have the group running the complex monthly queries use a separate appropriately-sized warehouse to support their workload.
C. Increase the minimum number of clusters started in the multi-cluster configuration to 5.
D. Examine the complex queries and determine if they can be made more efficient usingclustering keys or materialized views.
E. Increase the multi-cluster maximum to 20 or more clusters.

Answer: A,B

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 # 65
......

You will receive a registration code and download instructions via email. We will be happy to assist you with any questions regarding our products. Our SnowPro Advanced Administrator (ADA-C01) practice exam software helps to prepare applicants to practice time management, problem-solving, and all other tasks on the standardized exam and lets them check their scores. The SnowPro Advanced Administrator (ADA-C01) practice test results help students to evaluate their performance and determine their readiness without difficulty.

ADA-C01 Real Sheets: https://www.testvalid.com/ADA-C01-exam-collection.html

BONUS!!! Download part of TestValid ADA-C01 dumps for free: https://drive.google.com/open?id=1C3f3ktc0j9dYgZ_obC0rgR_fvK4j9ilM