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Snowflake ADA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Account and Security Administration	30%	- Account configuration and management 1. Cost management and billing 2. Edition and feature configuration 3. Organization and account structures - Access control and security 1. User and privilege management 2. Data security and masking policies 3. Authentication and network policies 4. Role-based access control (RBAC) design
Data Sharing and Marketplace	10%	- Secure data sharing 1. Secure views and data consumption 2. Shares, readers and data providers - Snowflake Marketplace 1. Marketplace administration and governance 2. Listing and consuming data products
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. Query profiling and execution plans 3. Indexing and clustering keys optimization
Business Continuity and Disaster Recovery	15%	- 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. Cross-region and cross-cloud replication 3. Time travel and fail-safe configuration
Resource Management and Optimization	25%	- Virtual warehouse administration 1. Warehouse sizing, scaling and suspension 2. Cost optimization strategies 3. Workload management and resource monitoring - Database and object management 1. Data retention and time travel 2. Storage management and clustering 3. Schema design and object lifecycle

Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions:

1. The following commands were executed:
Grant usage on database PROD to role PROD_ANALYST;
Grant usage on database PROD to role PROD_SUPERVISOR;
Grant ALL PRIVILEGES on schema PROD.WORKING to role PROD_ANALYST;
Grant ALL PRIVILEGES on schema PROD.WORKING to role PROD_SUPERVISOR;
Grant role PROD_ANALYST to user A;
Grant role PROD_SUPERVISOR to user B;
What authority does each user have on the WORKING schema?

A) Only user B can create tables, because all privileges were transferred to PROD_SUPERVISOR.
B) Both user A and user B can create tables in the PROD.WORKING schema.
C) All existing tables in schema PROD.WORKING will be visible to both users.
D) Tables created by either user A or user B will be visible to both users.

2. 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 table is not big enough to take advantage of the clustering key.
C) The cardinality of the stores to transaction count ratio is too low to use the STORE_ID as a clustering key.
D) The STORE_ID should be numeric.

3. What steps are required to set up OKTAAPI token integration in Snowflake?

A) create or replace security integration okta_provisioning
type = scim
scim_client = 'okta'
run_as_role = 'OKTA PROVISIONER';
Update this step every 6 months.
B) use role ACCOUNTADMIN;
select system$ generate_scim_access_token ('OKTA PROVISIONING');
Update these steps every 6 months.
C) use role ACCOUNTADMIN;
select system$ generate_scim_access_token ('OKTA PROVISIONING');
Update these steps every 12 months.
D) grant role okta_provisioner to role ACCOUNTADMIN;
create or replace security integration okta_provisioning
type = scim
scim_client = 'okta'
run_as_role = 'OKTA PROVISIONER';
Update these steps every 12 months.

4. A Snowflake Administrator needs to persist all virtual warehouse configurations for auditing and backups. Given a table already exists with the following schema:
Table Name: VWH_META
Column 1: SNAPSHOT_TIME TIMESTAMP_NTZ
Column 2: CONFIG VARIANT
Which commands should be executed to persist the warehouse data at the time of execution in JSON format in the table VWH_META?

A) SHOW WAREHOUSES;
INSERT INTO VWH_META
SELECT CURRENT_TIMESTAMP(),
OBJECT_CONSTRUCT(*)
FROM TABLE(RESULT_SCAN(LAST_QUERY_ID()));
B) SHOW WAREHOUSES;
INSERT INTO VWH_META
SELECT CURRENT_TIMESTAMP(),
FROM TABLE(RESULT_SCAN(LAST_QUERY_ID(1)));
C) SHOW WAREHOUSES;
INSERT INTO VWH_META
SELECT CURRENT_TIMESTAMP(), *
FROM TABLE(RESULT_SCAN(SELECT LAST_QUERY_ID(-1)));
D) SHOW WAREHOUSES;
INSERT INTO VWH_META
SELECT CURRENT_TIMESTAMP(), *
FROM TABLE(RESULT_SCAN(LAST_QUERY_ID()));