UPDATES TO VCEDUMPS ADA-C01 DUMPS EVERY 1 YEAR

Updates To VCEDumps ADA-C01 Dumps Every 1 year

Updates To VCEDumps ADA-C01 Dumps Every 1 year

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Snowflake SnowPro Advanced Administrator Sample Questions (Q43-Q48):

NEW QUESTION # 43
What are characteristics of Dynamic Data Masking? (Select TWO).

  • A. A masking policy can be applied to the VALUE column of an external table.
  • B. The role that creates the masking policy will always see unmasked data in query results.
  • C. A masking policy that is currently set on a table can be dropped.
  • D. A single masking policy can be applied to columns with different data types.
  • E. A single masking policy can be applied to columns in different tables.

Answer: D,E

Explanation:
According to the Using Dynamic Data Masking documentation, Dynamic Data Masking is a feature that allows you to alter sections of data in table and view columns at query time using a predefined masking strategy. The following are some of the characteristics of Dynamic Data Masking:
* A single masking policy can be applied to columns in different tables. This means that you can write a policy once and have it apply to thousands of columns across databases and schemas.
* A single masking policy can be applied to columns with different data types. This means that you can use the same masking strategy for columns that store different kinds of data, such as strings, numbers, dates, etc.
* A masking policy that is currently set on a table can be dropped. This means that you can remove the masking policy from the table and restore the original data visibility.
* A masking policy can be applied to the VALUE column of an external table. This means that you can mask data that is stored in an external stage and queried through an external table.
* The role that creates the masking policy will always see unmasked data in query results. This is not true, as the masking policy can also apply to the creator role depending on the execution context conditions defined in the policy. For example, if the policy specifies that only users with a certain custom entitlement can see the unmasked data, then the creator role will also need to have that entitlement to see the unmasked data.


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. Use bi-directional data sharing among offices in the same region and replication among offices across the continents.
  • 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: B

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 company has set up a new Snowflake account. An Identity Provider (IdP) has been configured for both Single Sign-On (SSO) and SCIM provisioning.
What maintenance is required to ensure that the SCIM provisioning process continues to operate without errors?

  • A. The IdP Administrator must issue a REFRESH transaction at least once every six months to synchronize all users and roles.
  • B. The IdP service account requires a new RSA key pair to be generated every six months.
  • C. The OAuth Bearer Tokens have a lifespan of six months and must be regenerated prior to expiration.
  • D. The Administrator must issue a POST RENEW call to the REST API at least once every six months.

Answer: C

Explanation:
Explanation
According to the Snowflake documentation1, the authentication process for SCIM provisioning uses an OAuth Bearer token and this token is valid for six months. Customers must keep track of their authentication token and can generate a new token on demand. If the token expires, the SCIM provisioning process will fail.
Therefore, the token must be regenerated before it expires. The other options are not required for SCIM provisioning.


NEW QUESTION # 46
An Administrator has a table named SALES_DATA which needs some edits, but the Administrator does not want to change the main table dat a. The Administrator decides to make a transient copy of this table and wants the transient table to have all the same permissions as the original table.
How can the Administrator create the transient table so it inherits the same permissions as the original table, and what considerations need to be made concerning the requirements? (Select TWO).

  • A. Transient tables will persist until explicitly dropped and contribute to overall storage costs.
  • B. Transient tables will be purged at the end of the user session and do not have any Fail-safe period.
  • C. Use the following SQL command:
    create transient table TRANSIENT SALES DATA as select * from SALES_DATA copy grants;
  • D. Use the following SQL command:
    create transient table TRANSIENT_SALES_DATA as select * from SALES_DATA;
  • E. Use the following SQL commands:
    create transient table TRANSIENT_SALES_DATA like SALES_DATA copy grants; insert into TRANSIENT_SALES_DATA select * from SALES_DATA;

Answer: A,C

Explanation:
According to the Snowflake documentation1, the COPY GRANTS option can be used to copy all privileges, except OWNERSHIP, from the existing table to the new transient table. This option also preserves any future grants defined for the object type in the schema. Option A is incorrect because it does not copy any grants from the original table. Option C is incorrect because it does not copy the data from the original table, only the structure and grants. Option E is incorrect because transient tables are not session-based and do not have a Fail-safe period, but they do have a Time Travel retention period2.
1: CREATE TABLE | Snowflake Documentation 2: Working with Temporary and Transient Tables | Snowflake Documentation


NEW QUESTION # 47
An Administrator is evaluating a complex query using the EXPLAIN command. The Globalstats operation indicates 500 partitionsAssigned.
The Administrator then runs the query to completion and opens the Query Profile. They notice that the partitions scanned value is 429.
Why might the actual partitions scanned be lower than the estimate from the EXPLAIN output?

  • A. The GlobalStats partition assignment includes the micro-partitions that will be assigned for preservation of the query results.
  • B. In-flight data compression will result in fewer micro-partitions being scanned at the virtual warehouse layer than were identified at the storage layer.
  • C. Runtime optimizations such as join pruning can reduce the number of partitions and bytes scanned during query execution.
  • D. The EXPLAIN results always include a 10-15% safety factor in order to provide conservative estimates.

Answer: C

Explanation:
Explanation
The EXPLAIN command returns the logical execution plan for a query, which shows the upper bound estimates for the number of partitions and bytes that might be scanned by the query1. However, these estimates do not account for the runtime optimizations that Snowflake performs to improve the query performance and reduce the resource consumption2. One of these optimizations is join pruning, which eliminates unnecessary partitions from the join inputs based on the join predicates2. This can result in fewer partitions and bytes scanned than the estimates from the EXPLAIN output3. Therefore, the actual partitions scanned value in the Query Profile can be lower than the partitionsAssigned value in the EXPLAIN output4.


NEW QUESTION # 48
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