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Snowflake ADA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
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. Indexing and clustering keys optimization 2. Query profiling and execution plans 3. Materialized views and search optimization
Business Continuity and Disaster Recovery	15%	- Disaster recovery planning 1. Failover and failback procedures 2. Recovery time and point objectives - Data protection and replication 1. Database cloning and backup strategies 2. Time travel and fail-safe configuration 3. Cross-region and cross-cloud replication
Resource Management and Optimization	25%	- Virtual warehouse administration 1. Workload management and resource monitoring 2. Warehouse sizing, scaling and suspension 3. Cost optimization strategies - Database and object management 1. Storage management and clustering 2. Schema design and object lifecycle 3. Data retention and time travel
Account and Security Administration	30%	- Account configuration and management 1. Organization and account structures 2. Edition and feature configuration 3. Cost management and billing - Access control and security 1. Role-based access control (RBAC) design 2. Authentication and network policies 3. Data security and masking policies 4. User and privilege management
Data Sharing and Marketplace	10%	- 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

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Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions (Q60-Q65):

NEW QUESTION # 60
For Snowflake network policies, what will occur when the account level and user level network policies are both defined?

A. The account_level policy will override the user_level policy.
B. The user_level network policies will not be supported.
C. A network policy error will be generated with no definitions provided.
D. The user_level policy will override the account_level policy.

Answer: D

Explanation:
When both account-level and user-level network policies are defined in Snowflake, the user-level policy overrides the account-level policy for that specific user.

NEW QUESTION # 61
What roles or security privileges will allow a consumer account to request and get data from the Data Exchange? (Choose two.)

A. ACCOUNTADMIN
B. IMPORT PRIVILEGES and SHARED DATABASE
C. SECURITYADMIN
D. IMPORT SHARE and CREATE DATABASE
E. SYSADMIN

Answer: A,D

Explanation:
ACCOUNTADMIN role is required to access and manage Data Exchange listings and shares.
The IMPORT SHARE and CREATE DATABASE privileges are required to create databases from shared data.

NEW QUESTION # 62
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?

A. No, because 3.3.3.10 is found in the BLOCKED_IP_LIST of bar_policy.
B. Yes, because 3.3.3.10 is found in the ALLOWED_IP_LIST of foo_policy.
C. Yes, because 3.3.3.10 is found in the ALLOWED_IP_LIST of bar_policy.
D. No, because 3.3.3.10 is not found in the ALLOWED_IP_LIST of foo_policy.

Answer: A

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 # 63
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(), *
FROM TABLE(RESULT_SCAN(LAST_QUERY_ID()));
B. SHOW WAREHOUSES;
INSERT INTO VWH_META
SELECT CURRENT_TIMESTAMP(), *
FROM TABLE(RESULT_SCAN(SELECT LAST_QUERY_ID(-1)));
C. SHOW WAREHOUSES;
INSERT INTO VWH_META
SELECT CURRENT_TIMESTAMP(),
OBJECT_CONSTRUCT(*)
FROM TABLE(RESULT_SCAN(LAST_QUERY_ID()));
D. SHOW WAREHOUSES;
INSERT INTO VWH_META
SELECT CURRENT_TIMESTAMP(),
FROM TABLE(RESULT_SCAN(LAST_QUERY_ID(1)));

Answer: C

Explanation:
To persist warehouse configurations in JSON format, the result set from SHOW WAREHOUSES must be captured and converted into a variant object. Using OBJECT_CONSTRUCT(*) with RESULT_SCAN(LAST_QUERY_ID()) stores the full warehouse configuration snapshot as JSON in the CONFIG VARIANT column, along with the timestamp.

NEW QUESTION # 64
A Snowflake Administrator needs to set up Time Travel for a presentation area that includes facts and dimensions tables, and receives a lot of meaningless and erroneous IoT data. Time Travel is being used as a component of the company's data quality process in which the ingestion pipeline should revert to a known quality data state if any anomalies are detected in the latest load. Data from the past 30 days may have to be retrieved because of latencies in the data acquisition process.
According to best practices, how should these requirements be met? (Choose two.)

A. Only TRANSIENT tables should be used to ensure referential integrity between the fact and dimension tables.
B. The DATA_RETENTION_TIME_IN_DAYS should be kept at the account level and never used for lower level containers (databases and schemas).
C. The fact and dimension tables should be cloned together using the same Time Travel options to reduce potential referential integrity issues with the restored data.
D. The fact and dimension tables should have the same DATA_RETENTION_TIME_IN_DAYS.
E. Related data should not be placed together in the same schema. Facts and dimension tables should each have their own schemas.

Answer: C,D

Explanation:
To ensure consistent recovery, fact and dimension tables must have the same DATA_RETENTION_TIME_IN_DAYS, so they can be restored to the same point in time.
Cloning the fact and dimension tables together with consistent Time Travel options ensures data integrity and avoids referential mismatches when reverting to a prior state.

NEW QUESTION # 65
......

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