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Snowflake ADA-C02 Exam Syllabus Topics:

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

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Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions (Q34-Q39):

NEW QUESTION # 34
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. 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.
C. use role ACCOUNTADMIN;
select system$ generate_scim_access_token ('OKTA PROVISIONING');
Update these steps every 6 months.
D. use role ACCOUNTADMIN;
select system$ generate_scim_access_token ('OKTA PROVISIONING');
Update these steps every 12 months.

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 # 35
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. There should be another 2XL warehouse deployed to handle a portion of the load queries.
B. The 2XL warehouse should be changed to 4XL to increase the number of threads available for parallel load queries.
C. The INSERTS should be converted to several tables to avoid contention on large tables that slows down query processing.
D. The warehouse should be kept as a SMALL or XSMALL and configured as a multi-cluster warehouse to handle the parallel load queries.

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 # 36
What Snowflake capabilities are commonly used in rollback scenarios? (Choose two.)

A. ALTER TABLE prd_table SWAP WITH prd_table_bkp;
B. CREATE TABLE prd_table_bkp CLONE prd_table BEFORE (STATEMENT => 'problematic_query_id');
C. Contact Snowflake Support to retrieve Fail-safe data.
D. SELECT SYSTEM$CANCEL_QUERY('problematic_query_id');
E. CREATE TABLE prd_table_bkp as SELECT * from table(result_scan('problematic_query_id'));

Answer: A,B

Explanation:
Creating a clone of a table at a point in time before a problematic statement uses Snowflake Time Travel to restore the table’s previous state without copying data. This allows recovery of the table as it existed before the issue occurred.
Swapping tables enables a fast rollback by exchanging the original production table with the restored backup table. This operation is metadata-only and allows immediate restoration of the previous version of the data with minimal downtime.

NEW QUESTION # 37
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?

A. create or replace warehouse reporting_wh
warehouse_size = xxxlarge
max_cluster_count = 10
scaling_policy = standard
auto_suspend = 600
auto_resume = false;
B. create or replace warehouse reporting_wh
warehouse_size = medium
max_cluster_count = 10
scaling_policy = standard
auto_suspend = 600
auto_resume = true;
C. create or replace warehouse reporting_wh
warehouse_size = medium
auto_suspend = 600
auto_resume = true;
D. create or replace warehouse reporting_wh
warehouse_size = xxxlarge
auto_suspend = 60
auto_resume = true;

Answer: B

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 # 38
A large international company with many operating regions requires data to be shared bi-directionally among all offices (head office to regional offices and regional offices among themselves). This company is a Snowflake account holder with European operations deployed in Microsoft Azure (single region) while North American regional offices are using AWS (single region) as their deployment cloud. This setup is required to comply with Personal Identifiable Information (PII) regulations in some of the European countries. The corporate head office is in Europe.
How can this data be shared bi-directionally, while MINIMIZING costs?

A. Use bi-directional data sharing among offices in the same region and replication among offices across the continents.
B. Use the PUT command to move files to an Amazon S3 bucket and Azure Blobs, and use an external file management application to move files within the corporate VPC.
C. Use data replication everywhere to reduce costs associated with same-region sharing.
D. Move all the Snowflake accounts to a single region, and implement data sharing.

Answer: A

Explanation:
Direct data sharing is the most cost-efficient method when accounts are in the same region and cloud. For cross-continent or cross-cloud sharing, Snowflake requires replication. Combining both - data sharing within the same region and replication across continents - ensures compliance, minimizes costs, and enables bi-directional sharing.

NEW QUESTION # 39
......

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