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| Section | Objectives |
|---|
| Account and Resource Administration | - Account configuration and management
- 1. Users, roles, and permissions
- 2. Resource monitors and governance basics
|
| Snowflake Architecture and Virtual Warehouses | - Snowflake architecture concepts
- 1. Separation of storage and compute
- 2. Virtual warehouse usage and scaling
|
| Performance and Monitoring | - Performance tuning and optimization
- 1. Query performance analysis
- 2. Warehouse sizing and scaling strategies
|
| Security and Access Control | - Authentication and authorization
- 1. Role-based access control (RBAC)
- 2. Network policies and secure access
|
| Data Loading and Unloading | - Bulk and continuous data ingestion
- 1. COPY INTO operations
- 2. Stages and file formats
|
| Data Protection and Recovery | - Backup and recovery mechanisms
- 1. Time Travel and Fail-safe concepts
- 2. Cloning and data recovery strategies
|
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Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions (Q36-Q41):
NEW QUESTION # 36
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. Move all the Snowflake accounts to a single region, and implement data sharing.
- B. Use data replication everywhere to reduce costs associated with same-region sharing.
- C. Use bi-directional data sharing among offices in the same region and replication among offices across the continents.
- D. 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.
Answer: C
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 # 37
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 not found in the ALLOWED_IP_LIST of foo_policy.
- B. No, because 3.3.3.10 is found in the BLOCKED_IP_LIST of bar_policy.
- C. Yes, because 3.3.3.10 is found in the ALLOWED_IP_LIST of bar_policy.
- D. Yes, because 3.3.3.10 is found in the ALLOWED_IP_LIST of foo_policy.
Answer: B
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 # 38
A team is provisioning new lower environments from the production database using cloning. All production objects and references reside in the database, and do not have external references.
What set of object references needs to be re-pointed before granting access for usage?
- A. There are no object references that need to be re-pointed
- B. Sequences, storage integrations, views, secure views, and materialized views
- C. Sequences, views, secure views, and materialized views
- D. Sequences, views, and secure views
Answer: A
Explanation:
When cloning a database in Snowflake, all objects - including sequences, views, secure views, and materialized views - are fully contained within the cloned database. Since there are no external references, no object references need to be re-pointed before granting access.
NEW QUESTION # 39
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(SELECT LAST_QUERY_ID(-1))); - B. SHOW WAREHOUSES;
INSERT INTO VWH_META
SELECT CURRENT_TIMESTAMP(),
FROM TABLE(RESULT_SCAN(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()));
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 # 40
What is a characteristic of Snowflake's transaction locking and concurrency modeling?
- A. Queries executed within a given transaction see that transaction's uncommitted changes.
- B. A deadlock cannot occur in Snowflake, since concurrently executed queries and DML statements do not block one another.
- C. Transaction locking in Snowflake is enforced exclusively at the row and table levels.
- D. If two queries are concurrently executed against the same table, one of the two queries will be blocked until the other query completes.
Answer: B
Explanation:
Snowflake uses multi-version concurrency control (MVCC), which allows queries and DML statements to operate without blocking each other. This architecture eliminates the possibility of deadlocks because transactions work on snapshots of data rather than locking rows or tables in ways that could cause contention.
NEW QUESTION # 41
......
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