Free PDF Snowflake - ADA-C02 - Efficient SnowPro Advanced Administrator ADA-C02 Dumps Vce

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Snowflake ADA-C02 Exam Syllabus Topics:

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

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Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions (Q57-Q62):

NEW QUESTION # 57
What are the MINIMUM grants required on the database, schema, and table for a stream to be properly created and managed?

Answer: D

Explanation:
Database: USAGE is required to access the database.
Schema: USAGE and CREATE STREAM are required to create streams in the schema.
Table: SELECT is needed so the stream can track changes on the table.


NEW QUESTION # 58
An Administrator needs to configure a virtual warehouse in Snowflake for a new use case with these details:
1. There will be 50-100 concurrent users running reports
2. Minimize costs based on the number of active users at a given time
3. The virtual warehouse should suspend and resume automatically based on user activity
Which configuration will meet these requirements?

Answer: D

Explanation:
Supporting 50-100 concurrent users requires a multi-cluster warehouse so compute resources can scale to handle high concurrency. Setting a maximum cluster count allows Snowflake to automatically add clusters when query demand increases and reduce them when demand drops, which helps minimize cost based on active users. Enabling auto_suspend and auto_resume ensures the warehouse automatically stops when idle and restarts when queries arrive, further optimizing cost and operational efficiency.


NEW QUESTION # 59
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 # 60
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?

Answer: D

Explanation:
Although ACCOUNTADMIN created the table, the future ownership grant ensures ownership of new tables in PROD.WORKING is assigned to PROD_WORKING_OWNER. Since PROD_WORKING_OWNER was granted to SYSADMIN, both roles, along with ACCOUNTADMIN (which always has ultimate rights), can alter or drop the table XYZ.


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?

Answer: C

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 # 62
......

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