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Snowflake ADA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Management	20%	- Data loading and unloading - Database object management - Time Travel and Fail-safe - Data sharing and replication
Topic 2: Performance and Monitoring	20%	- Query performance optimization - Query history and profiling - Resource monitoring and management - Clustering keys
Topic 3: Virtual Warehouses	20%	- Virtual warehouse creation and management - Warehouse sizing and scaling - Resource monitors - Warehouse performance optimization
Topic 4: Account Management and Security	25%	- User management and authentication - Account management and billing - Role-Based Access Control (RBAC) - Security and governance management
Topic 5: Data Protection and Disaster Recovery	15%	- Data replication - Snowflake Marketplace - Disaster recovery planning - Backup and restore procedures

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Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions (Q19-Q24):

NEW QUESTION # 19
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
auto_suspend = 60
auto_resume = true;
B. create or replace warehouse reporting_wh
warehouse_size = xxxlarge
max_cluster_count = 10
scaling_policy = standard
auto_suspend = 600
auto_resume = false;
C. create or replace warehouse reporting_wh
warehouse_size = medium
max_cluster_count = 10
scaling_policy = standard
auto_suspend = 600
auto_resume = true;
D. create or replace warehouse reporting_wh
warehouse_size = medium
auto_suspend = 600
auto_resume = true;

Answer: C

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 # 20
What are the MINIMUM grants required on the database, schema, and table for a stream to be properly created and managed?

A. Database: Usage
Schema: Usage, Create Stream
Table: Select
B. Database: Usage
Schema: Usage
Table: Select
C. Database: Usage
Schema: Usage
Table: Select, Create Stream
D. Database: Usage, Create Stream
Schema: Usage
Table: Select

Answer: A

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 # 21
What SCIM integration types are supported in Snowflake? (Choose three.)

A. Google Cloud Platform (GCP)
B. Azure Active Directory (Azure AD)
C. Okta
D. Duo Security Provisioning Connector
E. Custom
F. Amazon Web Services (AWS)

Answer: B,C,E

Explanation:
Snowflake supports SCIM integrations with Okta, Azure Active Directory (Azure AD), and custom SCIM integrations. These allow automated provisioning and de-provisioning of users and roles. SCIM is not provided directly through AWS, GCP, or Duo.

NEW QUESTION # 22
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. The cardinality of the stores to transaction count ratio is too low to use the STORE_ID as a clustering key.
B. Sales across stores are not uniformly distributed.
C. The STORE_ID should be numeric.
D. The table is not big enough to take advantage of the clustering key.

Answer: B

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 # 23
Which command can temporarily disable Multi-factor Authentication (MFA) for the Snowflake username user1 for 24 hours?

A. alter user user1 set TEMPORARY_MFA_BYPASS=1440;
B. alter user user1 set HOURS_TO_BYPASS_MFA=24;
C. alter user user1 set MINS_TO_BYPASS_MFA=1440;
D. alter user user1 set DISABLE_MFA=1440;

Answer: C

Explanation:
The parameter MINS_TO_BYPASS_MFA controls how long MFA is bypassed for a user. Setting it to 1440 minutes (24 hours) temporarily disables MFA for that duration without revoking the user's MFA enrollment.

NEW QUESTION # 24
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