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Snowflake ADA-C02 Exam Syllabus Topics:

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

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Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions (Q33-Q38):

NEW QUESTION # 33
What session parameter can be used to test the integrity of secure views based on the account that is accessing that view?

A. MIMIC CONSUMER ACCOUNT
B. PRODUCER TEST ACCT
C. SIMULATED DATA SHARING CONSUMER
D. TEST ACCOUNT ID

Answer: A

Explanation:
The session parameter MIMIC_CONSUMER_ACCOUNT allows a data provider to test how secure views will appear to a specific consumer account. This ensures the integrity and correctness of secure views before they are shared.

NEW QUESTION # 34
Which command can temporarily disable Multi-factor Authentication (MFA) for the Snowflake username user1 for 24 hours?

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

Answer: A

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 # 35
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 table is not big enough to take advantage of the clustering key.
B. Sales across stores are not uniformly distributed.
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.

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 # 36
What are characteristics of data replication in Snowflake? (Choose three.)

A. Users can have unlimited primary databases and they can be replicated to an unlimited number of accounts if all accounts are within the same organization.
B. The ALTER DATABASE ... ENABLE REPLICATION TO ACCOUNTS command must be issued from the primary account.
C. Replication can only occur within the same cloud provider.
D. To start replication run the ALTER DATABASE ... REFRESH command on the account where the secondary database resides.
E. Databases created from shares can be replicated.
F. Users must be granted REPLICATIONADMIN privileges in order to enable replication.

Answer: B,D,E

Explanation:
Replication must be enabled on the primary account using ALTER DATABASE ... ENABLE REPLICATION TO ACCOUNTS.
To refresh replicated data, ALTER DATABASE ... REFRESH is executed on the secondary database.
Databases created from shares can also be replicated.

NEW QUESTION # 37
When does auto-suspend occur for a multi-cluster virtual warehouse?

A. After a specified period of time when an additional cluster has started on the maximum number of clusters specified for a warehouse.
B. When the minimum number of clusters is running and there is no activity for the specified period of time.
C. When there has been no activity on any cluster for the specified period of time.
D. Auto-suspend does not apply for multi-cluster warehouses.

Answer: B

Explanation:
For a multi-cluster virtual warehouse, auto-suspend only triggers when the minimum number of clusters is running and there has been no activity for the specified period. Additional clusters above the minimum scale back down automatically, but suspension of the entire warehouse occurs only when the base minimum is idle.

NEW QUESTION # 38
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