Latest ADA-C02 Exam Book - Top ADA-C02 Exam Dumps

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Snowflake ADA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Business Continuity and Disaster Recovery	15%	- Data protection and replication 1. Time travel and fail-safe configuration 2. Database cloning and backup strategies 3. Cross-region and cross-cloud replication - Disaster recovery planning 1. Failover and failback procedures 2. Recovery time and point objectives
Account and Security Administration	30%	- Access control and security 1. Role-based access control (RBAC) design 2. Data security and masking policies 3. Authentication and network policies 4. User and privilege management - Account configuration and management 1. Edition and feature configuration 2. Cost management and billing 3. Organization and account structures
Data Sharing and Marketplace	10%	- Snowflake Marketplace 1. Marketplace administration and governance 2. Listing and consuming data products - Secure data sharing 1. Shares, readers and data providers 2. Secure views and data consumption
Performance Monitoring and Tuning	20%	- System monitoring and troubleshooting 1. Error logging and troubleshooting techniques 2. Workload isolation and concurrency control 3. Account and warehouse usage metrics - Query performance analysis 1. Materialized views and search optimization 2. Indexing and clustering keys optimization 3. Query profiling and execution plans
Resource Management and Optimization	25%	- Database and object management 1. Schema design and object lifecycle 2. Data retention and time travel 3. Storage management and clustering - Virtual warehouse administration 1. Warehouse sizing, scaling and suspension 2. Workload management and resource monitoring 3. Cost optimization strategies

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Latest ADA-C02 Exam Book | 100% Free Top SnowPro Advanced Administrator ADA-C02 Exam Dumps

This format is for candidates who do not have the time or energy to use a computer or laptop for preparation. The Snowflake ADA-C02 PDF file includes real Snowflake ADA-C02 questions, and they can be easily printed and studied at any time. BraindumpQuiz regularly updates its PDF file to ensure that its readers have access to the updated questions.

Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions (Q41-Q46):

NEW QUESTION # 41
An organization's sales team leverages this Snowflake query a few times a day:
SELECT CUSTOMER_ID, CUSTOMER_NAME, ADDRESS, PHONE_NO
FROM CUSTOMERS
WHERE LAST_UPDATED BETWEEN TO_DATE(CURRENT_TIMESTAMP) AND (TO_DATE(CURRENT_TIMESTAMP)-7);
What can the Snowflake Administrator do to optimize the use of persisted query results whenever possible?

A. Assign everyone on the sales team to the same virtual warehouse.
B. Leverage the CURRENT_DATE function for date calculations.
C. Wrap the query in a User-Defined Function (UDF) to match syntax execution.
D. Assign everyone on the sales team to the same security role.

Answer: B

Explanation:
Query result caching in Snowflake requires queries to be textually identical. Using CURRENT_TIMESTAMP causes queries to differ on each execution. By switching to CURRENT_DATE, the query becomes stable within a day, allowing Snowflake to reuse persisted results and improve performance.

NEW QUESTION # 42
What role or roles should be used to properly create the object required to setup OAuth 2.0 integration?

A. ACCOUNTADMIN and SYSADMIN
B. ACCOUNTADMIN only
C. Any role with GRANT USAGE on SECURITY INTEGRATION
D. ACCOUNTADMIN and SECURITYADMIN

Answer: D

Explanation:
Creating an OAuth 2.0 security integration requires elevated security privileges. Snowflake requires either the ACCOUNTADMIN role or the SECURITYADMIN role to properly create and manage the security integration object.

NEW QUESTION # 43
A Snowflake account is configured with SCIM provisioning for user accounts and has bi-directional synchronization for user identities. An Administrator with access to SECURITYADMIN uses the Snowflake UI to create a user by issuing the following commands:
use role USERADMIN;
create or replace role DEVELOPER_ROLE;
create user PTORRES PASSWORD = 'hello world!' MUST_CHANGE_PASSWORD = FALSE
default_role = DEVELOPER_ROLE;
The new user named PTORRES successfully logs in, but sees a default role of PUBLIC in the web UI. When attempted, the following command fails:
use DEVELOPER_ROLE;
Why does this command fail?

A. USERADMIN needs to explicitly grant the DEVELOPER_ROLE to the new USER.
B. The new role can only take effect after USERADMIN has logged out.
C. The DEVELOPER_ROLE needs to be granted to SYSADMIN before user PTORRES will be able to use the role.
D. The new role will only take effect once the identity provider has synchronized by way of SCIM with the Snowflake account.

Answer: A

Explanation:
Creating a user in Snowflake does not automatically grant them roles beyond PUBLIC. To use DEVELOPER_ROLE, the USERADMIN (or another role with MANAGE GRANTS privilege) must explicitly grant DEVELOPER_ROLE to PTORRES. Without this grant, the user cannot assume the role.

NEW QUESTION # 44
Which commands can be performed by a user with the ORGADMIN role but not the ACCOUNTADMIN role? (Choose two.)

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

Answer: D,E

Explanation:
Only the ORGADMIN role can run SHOW REGIONS and SHOW ORGANIZATION ACCOUNTS, which provide organization-wide information. These commands are not available to the ACCOUNTADMIN role.

NEW QUESTION # 45
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. Sales across stores are not uniformly distributed.
B. The cardinality of the stores to transaction count ratio is too low to use the STORE_ID as a clustering key.
C. The STORE_ID should be numeric.
D. The table is not big enough to take advantage of the clustering key.

Answer: A

Explanation:
Clustering is effective when data distribution across the clustering key is relatively uniform. In this case, most transactions are concentrated in only 20 of the 1000 stores, leading to skewed data distribution. This imbalance causes poor pruning, since large portions of micro-partitions still need to be scanned, even for queries targeting specific stores.

NEW QUESTION # 46
......

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