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| Section | Weight | Objectives |
|---|
| Topic 1: Virtual Warehouses | 20% | - Warehouse sizing and scaling - Virtual warehouse creation and management - Resource monitors - Warehouse performance optimization
|
| Topic 2: Account Management and Security | 25% | - Account management and billing - Security and governance management - Role-Based Access Control (RBAC) - User management and authentication
|
| Topic 3: Performance and Monitoring | 20% | - Query history and profiling - Query performance optimization - Resource monitoring and management - Clustering keys
|
| Topic 4: Data Protection and Disaster Recovery | 15% | - Backup and restore procedures - Disaster recovery planning - Data replication - Snowflake Marketplace
|
| Topic 5: Data Management | 20% | - Time Travel and Fail-safe - Data sharing and replication - Database object management - Data loading and unloading
|
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Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions (Q57-Q62):
NEW QUESTION # 57
MY_TABLE is a table that has not been updated or modified for several days. On 01 January 2021 at 07:01, a user executed a query to update this table. The query ID is '8e5d0ca9-005e-44e6-b858-a8f5b37c5726'. It is now 07:30 on the same day.
Which queries will allow the user to view the historical data that was in the table before this query was executed? (Choose three.)
- A. SELECT * FROM my_table AT(TIMESTAMP => '2021-01-01 07:00:00'::timestamp);
- B. SELECT * FROM my_table WITH TIME TRAVEL(OFFSET => -60*30);
- C. SELECT * FROM my_table PRIOR TO STATEMENT '8e5d0ca9-005e-44e6-b858-a8f5b37c5726';
- D. SELECT * FROM my_table BEFORE(STATEMENT => '8e5d0ca9-005e-44e6-b858-a8f5b37c5726');
- E. SELECT * FROM my_table AT(OFFSET => -60*30);
- F. SELECT * FROM TIME_TRAVEL('MY_TABLE', 2021-01-01 07:00:00);
Answer: A,D,E
Explanation:
Use Time Travel to view past table versions: (B) selects the table "as of" 07:00 via AT(TIMESTAMP => ...); (E) selects "as of" 30 minutes earlier via AT(OFFSET => -60*30); (F) selects the state before the specified statement via BEFORE(STATEMENT => '<query_id>').
NEW QUESTION # 58
An Administrator has a warehouse which is intended to have a credit quota set for 3000 for each calendar year. The Administrator needs to create a resource monitor that will perform the following tasks:
At 80% usage notify the account Administrators.
At 100% usage suspend the warehouse and notify the account Administrators.
At 120% stop all running executions, suspend the warehouse, and notify the account Administrators.
Which SQL command will meet these requirements?
- A. create or replace resource monitor RM1 with credit_quota=3000
frequency = yearly
triggers on 80 percent do notify
on 100 percent do suspend
on 120 percent do suspend_immediate;
alter warehouse WH1 set resource_monitor = RM1; - B. create or replace resource monitor RM1 with credit_quota=3000
frequency = yearly
start_timestamp = '2022-01-01 00:00 CET'
triggers on 80 percent do notify
on 100 percent do suspend
on 120 percent do suspend_immediate;
alter warehouse WH1 set resource_monitor = RM1; - C. create or replace resource monitor RM1 with credit_quota=3000
start_timestamp = '2022-01-01 00:00 CET'
triggers on 80 percent do notify
on 100 percent do suspend
on 120 percent do suspend_immediate;
alter warehouse WH1 set resource_monitor = RM1; - D. create or replace resource monitor RM1 with credit_quota=3000
start_timestamp = '2022-01-01 00:00 CET'
triggers on 80 percent do notify
on 100 percent do notify and suspend
on 120 percent do notify and suspend_immediate;
alter warehouse WH1 set resource_monitor = RM1;
Answer: B
Explanation:
The requirement is to enforce a yearly quota of 3000 credits with notifications and suspensions at 80%, 100%, and 120%. The correct command must include frequency = yearly, and specify triggers: notify at 80%, suspend (and notify) at 100%, and suspend immediate (and notify) at 120%.
NEW QUESTION # 59
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 STORE_ID should be numeric.
- 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. Sales across stores are not uniformly distributed.
Answer: D
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 # 60
A Snowflake account is configured with SCIM provisioning for user accounts and has bi-directional synchronization for user identities. An Administrator with access to SECURITYADMIN uses the Snowflake UI to create a user by issuing the following commands:
use role USERADMIN;
create or replace role DEVELOPER_ROLE;
create user PTORRES PASSWORD = 'hello world!' MUST_CHANGE_PASSWORD = FALSE
default_role = DEVELOPER_ROLE;
The new user named PTORRES successfully logs in, but sees a default role of PUBLIC in the web UI. When attempted, the following command fails:
use DEVELOPER_ROLE;
Why does this command fail?
- A. USERADMIN needs to explicitly grant the DEVELOPER_ROLE to the new USER.
- B. The DEVELOPER_ROLE needs to be granted to SYSADMIN before user PTORRES will be able to use the role.
- C. The new role can only take effect after USERADMIN has logged out.
- D. The new role will only take effect once the identity provider has synchronized by way of SCIM with the Snowflake account.
Answer: A
Explanation:
Creating a user in Snowflake does not automatically grant them roles beyond PUBLIC. To use DEVELOPER_ROLE, the USERADMIN (or another role with MANAGE GRANTS privilege) must explicitly grant DEVELOPER_ROLE to PTORRES. Without this grant, the user cannot assume the role.
NEW QUESTION # 61
What are benefits of using Snowflake organizations? (Choose two.)
- A. Administrators can change Snowflake account editions on-demand based on need.
- B. Administrators have the ability to create accounts in any available cloud provider or region.
- C. User administration is simplified across all accounts within the organization.
- D. Administrators can simplify data movement across all accounts within the organization.
- E. Administrators can monitor and understand usage across all accounts in the organization.
Answer: B,E
Explanation:
Snowflake organizations provide centralized usage monitoring across all accounts in the organization and give administrators the ability to create accounts in any supported cloud provider or region. These are the key benefits of using organizations in Snowflake.
NEW QUESTION # 62
......
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