100% Pass Quiz Snowflake - ADA-C02 - Updated Latest SnowPro Advanced Administrator ADA-C02 Guide Files

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Snowflake ADA-C02 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Resource Management and Optimization25%- Database and object management
  • 1. Storage management and clustering
  • 2. Schema design and object lifecycle
  • 3. Data retention and time travel
- Virtual warehouse administration
  • 1. Workload management and resource monitoring
  • 2. Cost optimization strategies
  • 3. Warehouse sizing, scaling and suspension
Topic 2: Business Continuity and Disaster Recovery15%- Disaster recovery planning
  • 1. Recovery time and point objectives
  • 2. Failover and failback procedures
- Data protection and replication
  • 1. Database cloning and backup strategies
  • 2. Time travel and fail-safe configuration
  • 3. Cross-region and cross-cloud replication
Topic 3: Account and Security Administration30%- Access control and security
  • 1. Role-based access control (RBAC) design
  • 2. Authentication and network policies
  • 3. User and privilege management
  • 4. Data security and masking policies
- Account configuration and management
  • 1. Cost management and billing
  • 2. Edition and feature configuration
  • 3. Organization and account structures
Topic 4: Performance Monitoring and Tuning20%- System monitoring and troubleshooting
  • 1. Workload isolation and concurrency control
  • 2. Error logging and troubleshooting techniques
  • 3. Account and warehouse usage metrics
- Query performance analysis
  • 1. Query profiling and execution plans
  • 2. Indexing and clustering keys optimization
  • 3. Materialized views and search optimization
Topic 5: Data Sharing and Marketplace10%- Snowflake Marketplace
  • 1. Marketplace administration and governance
  • 2. Listing and consuming data products
- Secure data sharing
  • 1. Secure views and data consumption
  • 2. Shares, readers and data providers

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Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions (Q48-Q53):

NEW QUESTION # 48
An Administrator loads data into a staging table every day. Once loaded, users from several different departments perform transformations on the data and load it into different production tables.
How should the staging table be created and used to MINIMIZE storage costs and MAXIMIZE performance?

Answer: D

Explanation:
A transient table is best suited for staging because it avoids long-term storage costs by not maintaining Fail-safe and can have Time Travel retention set to 0 days. This minimizes storage costs while still providing performance comparable to permanent tables, making it the optimal choice for daily staging data.


NEW QUESTION # 49
What steps are required to set up OKTAAPI token integration in Snowflake?

Answer: C

Explanation:
Use the ACCOUNTADMIN role to generate the SCIM access token for Okta with system$generate_scim_access_token.
The access token must be regenerated and updated in Okta every 6 months for continued integration.


NEW QUESTION # 50
Which actions are considered breaking changes to data that is shared with consumers in the Snowflake Marketplace? (Choose two.)

Answer: C,D

Explanation:
Dropping a column from a table or renaming a table breaks the shared schema and can cause dependent queries to fail for consumers. These are considered breaking changes to shared data in the Snowflake Marketplace.


NEW QUESTION # 51
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?

Answer: D

Explanation:
For many small, parallel INSERTS, using a multi-cluster warehouse with smaller size (SMALL or XSMALL) allows more concurrent queries to run efficiently and reduces costs compared to a single large warehouse. This configuration improves concurrency without unnecessary compute expense.


NEW QUESTION # 52
A user with the proper role issues the following commands when setting up and activating network policies:
CREATE OR REPLACE NETWORK POLICY foo_policy
ALLOWED_IP_LIST = ('1.1.1.0/24', '2.2.2.0/24', '3.3.3.0/24')
BLOCKED_IP_LIST = ('1.1.1.1')
COMMENT = 'Account level policy';
ALTER ACCOUNT SET NETWORK_POLICY=foo_policy;
CREATE OR REPLACE NETWORK POLICY bar_policy
ALLOWED_IP_LIST = ('3.3.3.0/24')
BLOCKED_IP_LIST = ('3.3.3.10')
COMMENT = 'user level policy';
ALTER USER user1 SET NETWORK_POLICY=BAR_POLICY;
Afterwards, user1 attempts to log in to Snowflake from IP address 3.3.3.10.
Will the login be successful?

Answer: B

Explanation:
Although 3.3.3.10 is in the ALLOWED_IP_LIST, it is also explicitly listed in the BLOCKED_IP_LIST of the user-level policy (bar_policy). Blocked IPs always take precedence over allowed IPs in Snowflake network policies, so the login attempt will fail.


NEW QUESTION # 53
......

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