Useful ADA-C01 Dumps - ADA-C01 Best Practice

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Snowflake ADA-C01 Exam Syllabus Topics:

Topic	Details
Topic 1	Set up and manage network and private connectivity Given a scenario, manage Snowflake Time Travel and Fail-safe
Topic 2	Given a scenario, create and manage access control Given a scenario, implement resource monitors
Topic 3	Interpret and make recommendations for data clustering Manage DML locking and concurrency in Snowflake
Topic 4	Snowflake Security, Role-Based Access Control (RBAC), and User Administration Disaster Recovery, Backup, and Data Replication
Topic 5	Implement and manage data governance in Snowflake Data Sharing, Data Exchange, and Snowflake Marketplace
Topic 6	Manage and implement data sharing Given a set of business requirements, establish access control architecture
Topic 7	Given a scenario, manage databases, tables, and views Manage organizations and access control

Snowflake SnowPro Advanced Administrator Sample Questions (Q53-Q58):

NEW QUESTION # 53
In which scenario will use of an external table simplify a data pipeline?

A. When accessing a Snowflake table that references data files located in cloud storage
B. When continuously writing data from a Snowflake table to external storage
C. When accessing a Snowflake table from an external database within the same region
D. When accessing a Snowflake table from a relational database

Answer: A

Explanation:
Explanation
According to the Introduction to External Tables documentation, an external table is a Snowflake feature that allows you to query data stored in an external stage as if the data were inside a table in Snowflake. The external stage is not part of Snowflake, so Snowflake does not store or manage the stage. This simplifies the data pipeline by eliminating the need to load the data into Snowflake before querying it. External tables can access data stored in any format that the COPY INTO <table> command supports, such as CSV, JSON, AVRO, ORC, or PARQUET. The other scenarios do not involve external tables, but rather require data loading, unloading, or federation.

NEW QUESTION # 54
A Snowflake customer is experiencing higher costs than anticipated while migrating their data warehouse workloads from on-premises to Snowflake. The migration workloads have been deployed on a single warehouse and are characterized by a large number of small INSERTs rather than bulk loading of large extracts. That single warehouse has been configured as a single cluster, 2XL because there are many parallel INSERTs that are scheduled during nightly loads.
How can the Administrator reduce the costs, while minimizing the overall load times, for migrating data warehouse history?

A. The warehouse should be kept as a SMALL or XSMALL and configured as a multi-cluster warehouse to handle the parallel load queries.
B. There should be another 2XL warehouse deployed to handle a portion of the load queries.
C. The 2XL warehouse should be changed to 4XL to increase the number of threads available for parallel load queries.
D. The INSERTS should be converted to several tables to avoid contention on large tables that slows down query processing.

Answer: A

Explanation:
According to the Snowflake Warehouse Cost Optimization blog post, one of the strategies to reduce the cost of running a warehouse is to use a multi-cluster warehouse with auto-scaling enabled. This allows the warehouse to automatically adjust the number of clusters based on the concurrency demand and the queue size. A multi-cluster warehouse can also be configured with a minimum and maximum number of clusters, as well as a scaling policy to control the scaling behavior. This way, the warehouse can handle the parallel load queries efficiently without wasting resources or credits. The blog post also suggests using a smaller warehouse size, such as SMALL or XSMALL, for loading data, as it can perform better than a larger warehouse size for small INSERTs. Therefore, the best option to reduce the costs while minimizing the overall load times for migrating data warehouse history is to keep the warehouse as a SMALL or XSMALL and configure it as a multi-cluster warehouse to handle the parallel load queries. The other options are incorrect because:
* A. Deploying another 2XL warehouse to handle a portion of the load queries will not reduce the costs, but increase them. It will also introduce complexity and potential inconsistency in managing the data loading process across multiple warehouses.
* B. Changing the 2XL warehouse to 4XL will not reduce the costs, but increase them. It will also provide more compute resources than needed for small INSERTs, which are not CPU-intensive but I/O-intensive.
* D. Converting the INSERTs to several tables will not reduce the costs, but increase them. It will also create unnecessary data duplication and fragmentation, which will affect the query performance and data quality.

NEW QUESTION # 55
What SCIM integration types are supported in Snowflake? (Select THREE).

A. Google Cloud Platform (GCP)
B. Azure Active Directory (Azure AD)
C. Okta
D. Custom
E. Amazon Web Services (AWS)
F. Duo Security Provisioning Connector

Answer: B,C,D

Explanation:
Explanation
According to the Snowflake documentation1, Snowflake supports SCIM 2.0 to integrate Snowflake with Okta and Microsoft Azure AD, which both function as identity providers. Snowflake also supports identity providers that are neither Okta nor Microsoft Azure (i.e. Custom). Therefore, theSCIM integration types that are supported in Snowflake are Okta, Custom, and Azure AD. Option A is incorrect because Amazon Web Services (AWS) is not a SCIM identity provider. Option B is incorrect because Google Cloud Platform (GCP) is not a SCIM identity provider. Option F is incorrect because Duo Security Provisioning Connector is not a SCIM identity provider.

NEW QUESTION # 56
Which commands can be performed by a user with the ORGADMIN role but not the ACCOUNTADMIN role? (Select TWO).

A. GRANT ROLE ORGADMIN TO USER <username>;
B. SHOW ORGANIZATION ACCOUNTS;
C. SELECT SYSTEM$GLOBAL_ACCOUNT_SET_PARAMETER (
'ACCOUNT LOCATOR',
'ENABLE ACCOUNT DATABASE_REPLICATION',
'true'
);
D. SHOW USERS;
E. SHOW REGIONS;

Answer: B,C

Explanation:
According to the Snowflake documentation1, the ORGADMIN role is a special system role that is responsible for managing operations at the organization level, such as creating and viewing accounts, enabling database replication, and setting global account parameters. The ACCOUNTADMIN role is a system role that is responsible for managing operations at the account level, such as creating and managing users, roles, warehouses, databases, and shares. Therefore, the commands that can be performed by the ORGADMIN role but not the ACCOUNTADMIN role are:
* SHOW ORGANIZATION ACCOUNTS: This command lists all the accounts in the organization and their properties, such as region, edition, and status2. The ACCOUNTADMIN role can only show the current account and its properties using the SHOW ACCOUNTS command3.
* SELECT SYSTEM$GLOBAL_ACCOUNT_SET_PARAMETER: This function sets a global account parameter for an account in the organization, such as enabling account database replication4. The ACCOUNTADMIN role can only set local account parameters using the ALTER ACCOUNT command.
Option A is incorrect because the SHOW REGIONS command can be executed by any role, not just the ORGADMIN role. Option B is incorrect because the SHOW USERS command can be executed by the ACCOUNTADMIN role, as well as any role that has been granted the MONITOR privilege on the account. Option D is incorrect because the GRANT ROLE ORGADMIN TO USER <username> command can be executed by the ACCOUNTADMIN role, as well as any role that has been granted the ORGADMIN role1.

NEW QUESTION # 57
A team of developers created a new schema for a new project. The developers are assigned the role DEV_TEAM which was set up using the following statements:
USE ROLE SECURITYADMIN;
CREATE ROLE DEV TEAM;
GRANT USAGE, CREATE SCHEMA ON DATABASE DEV_DB01 TO ROLE DEV_TEAM;
GRANT USAGE ON WAREHOUSE DEV_WH TO ROLE DEV_TEAM;
Each team member's access is set up using the following statements:
USE ROLE SECURITYADMIN;
CREATE ROLE JDOE_PROFILE;
CREATE USER JDOE LOGIN NAME = 'JDOE' DEFAULT_ROLE='JDOE_PROFILE';
GRANT ROLE JDOE_PROFILE TO USER JDOE;
GRANT ROLE DEV_TEAM TO ROLE JDOE_PROFILE;
New tables created by any of the developers are not accessible by the team as a whole.
How can an Administrator address this problem?

A. Assign usage privilege on the virtual warehouse DEV_WH to the role JDOE_PROFILE.
B. Set up the new schema as a managed-access schema.
C. Assign ownership privilege to DEV_TEAM on the newly-created schema.
D. Set up future grants on the newly-created schemas.

Answer: D

Explanation:
Explanation
According to the Snowflake documentation1, future grants are a way to automatically grant privileges on future objects of a specific type that are created in a database or schema. By setting up future grants on the newly-created schemas, the administrator can ensure that any tables created by the developers in those schemas will be accessible by the DEV_TEAM role, without having to grant privileges on each table individually. Option A is incorrect because assigning ownership privilege to DEV_TEAM on the newly-created schema does not grant privileges on the tables in the schema, only on the schema itself. Option B is incorrect because assigning usage privilege on the virtual warehouse DEV_WH to the role JDOE_PROFILE does not affect the access to the tables in the schemas, only the ability to use the warehouse.
Option D is incorrect because setting up the new schema as a managed-access schema does not grant privileges on the tables in the schema, but rather requires explicit grants for each table.

NEW QUESTION # 58
......

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Useful ADA-C01 Dumps - ADA-C01 Best Practice

Efficient and Convenient Preparation with Actual4Cert's Updated ADA-C01 Exam Questions

Snowflake ADA-C01 Exam Syllabus Topics:

Snowflake SnowPro Advanced Administrator Sample Questions (Q53-Q58):

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