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| Topic | Details |
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| Topic 1 | - Identity and Data Access Management: This domain focuses on Role-Based Access Control (RBAC) including role hierarchies and privileges, along with basic database administration tasks like creating objects, transferring ownership, and executing fundamental SQL commands.
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| Topic 2 | - Data Loading and Virtual Warehouses: This domain covers loading structured, semi-structured, and unstructured data using stages and various methods, virtual warehouse configurations and scaling strategies, and Snowflake Cortex LLM functions for AI-powered operations.
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| Topic 3 | - Data Protection and Data Sharing: This domain addresses continuous data protection through Time Travel and cloning, plus data collaboration capabilities via Snowflake Marketplace and private Data Exchange sharing.
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| Topic 4 | - Interacting with Snowflake and the Architecture: This domain covers Snowflake's elastic architecture, key user interfaces like Snowsight and Notebooks, and the object hierarchy including databases, schemas, tables, and views with practical navigation and code execution skills.
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Snowflake Certified SnowPro Associate - Platform Certification Sample Questions (Q131-Q136):
NEW QUESTION # 131
You have a Snowflake database named 'SALES DB' containing schemas 'RAW' and
'TRANSFORMED'. The 'RAW' schema holds raw data ingested from various sources, and the
'TRANSFORMED' schema contains cleansed and transformed data ready for reporting. You need to grant the 'DATA ANALYST' role the ability to read all tables in the 'TRANSFORMED' schema but prevent them from modifying any objects. What is the MOST efficient and secure way to achieve this?
- A. GRANT ALL PRIVILEGES ON SCHEMA SALES DB.TRANSFORMED TO ROLE DATA
ANALYST; - B. GRANT SELECT ON ALL TABLES IN SCHEMA SALES DB.TRANSFORMED TO ROLE DATA ANALYST;
- C. GRANT USAGE ON DATABASE SALES DB TO ROLE DATA ANALYST; GRANT USAGE ON SCHEMA SALES DB.TRANSFORMED TO ROLE DATA ANALYST; GRANT SELECT ON FUTURE TABLES IN SCHEMA SALES DB.TRANSFORMED TO ROLE DATA ANALYST;
- D. GRANT USAGE ON DATABASE SALES DB TO ROLE DATA ANALYST; GRANT SELECT ON FUTURE TABLES IN SCHEMA SALES DB.TRANSFORMED TO ROLE DATA ANALYST;
- E. GRANT SELECT ON SCHEMA SALES DB.TRANSFORMED TO ROLE DATA ANALYST;
Answer: C
Explanation:
The most efficient and secure approach is to grant USAGE on the DATABASE and SCHEMA, and SELECT on FUTURE TABLES (C). USAGE privilege on the database allows the role to access objects within the database. USAGE on the schema allows access to the schema.
Granting SELECT on FUTURE TABLES ensures that any new tables created in the TRANSFORMED schema will automatically inherit the SELECT privilege for the DATA ANALYST role. Option A only grants SELECT on existing tables, not future ones. Option D grants ALL PRIVILEGES, which is too permissive. Option E is insufficient as it doesn't grant required privileges on Database and Schema. Option B is partially correct but misses granting usage on SCHEMA.
NEW QUESTION # 132
A data warehouse contains a table 'SALES TRANSACTIONS that is frequently updated. You need to ensure that the data is protected against accidental deletions and updates, and you need to be able to restore the data to a specific point in time. Which of the following Snowflake features and configurations should you implement to achieve this goal effectively?
- A. Enable replication across multiple regions to protect against regional outages and ensure data availability. This is the only protection required.
- B. Set the `DATA RETENTION TIME IN DAYS' parameter at the account level to a sufficient value, and understand that Fail-safe provides an additional layer of protection, although not directly accessible.
- C. Rely solely on Fail-safe as this guarantees long-term data recovery and provides automated recovery capabilities. Set Data Retention parameter to 1.
- D. Set the `DATA RETENTION TIME IN DAYS' parameter to a sufficiently long period (e.g., 90 days) and regularly create backups using Snowflake's data export feature.
Answer: B
Explanation:
Setting the parameter enables Time Travel, which allows restoring data to a specific point in the past within the retention period. Fail-safe provides an additional layer of protection beyond Time Travel, but it's not directly accessible for user- initiated recovery. Replication (Option A) is for disaster recovery but doesn't help with user errors. Backups (Option B) are useful but add complexity compared to Time Travel. Option D relies solely on Fail-safe, which is not user- accessible. Note, it is best to only provide time travel on required databases to save money on storage costs, account level might be unnecessary. Therefore, C is still better option than setting at table level also.
NEW QUESTION # 133
You need to create a database named 'SALES DB' that is only accessible to users with the
'ACCOUNTADMIN' role. After the database is created, you want to grant the 'USAGE' privilege on it to a custom role named 'DATA ANALYST. Which sequence of commands is the MOST efficient and correct way to achieve this?
- A. USE ROLE ACCOUNTADMIN; CREATE OR REPLACE DATABASE SALES DB; GRANT USAGE ON DATABASE SALES DB TO ROLE DATA ANALYST,
- B. CREATE DATABASE SALES DB; GRANT USAGE ON DATABASE SALES DB TO ROLE DATA ANALYST;
- C. USE ROLE ACCOUNTADMIN; CREATE DATABASE SALES DB; GRANT USAGE ON
DATABASE SALES DB TO ROLE DATA ANALYST; - D. USE ROLE ACCOUNTADMIN; CREATE DATABASE SALES DB; GRANT USAGE ON
DATABASE SALES DB TO ROLE DATA ANALYST; USE ROLE DATA ANALYST; - E. CREATE OR REPLACE DATABASE SALES DB; GRANT USAGE ON DATABASE SALES DB TO ROLE DATA ANALYST;
Answer: A
Explanation:
Option E is the most efficient and correct. You first need to assume the 'ACCOUNTADMIN' role to ensure you have the necessary privileges to create the database. While not strictly necessary,
'CREATE OR REPLACE is often preferred as it allows the script to be re-run without errors if the database already exists. Finally, you grant the USAGE' privilege to the 'DATA ANALYST role.
Options A and B do not specify to assume the 'ACCOUNTADMIN' role first. Options C and D does not use the 'CREATE OR REPLACE which is slightly inefficient and option D returns role to Data Analyst after creation which is not required.
NEW QUESTION # 134
A security architect is designing a role hierarchy in Snowflake for a data analytics team. They need to grant specific privileges to different user groups. 'DATA ENGINEER' role should have the ability to create and manage databases. 'DATA ANALYST' role should be able to query data from those databases. 'REPORT USER' role needs read-only access to specific views. The architect wants to ensure minimum privilege and enforce role separation. Which of the following sequences of SQL commands would correctly establish this role hierarchy and grant necessary privileges?

- A. Option C
- B. Option B
- C. Option E
- D. Option D
- E. Option A
Answer: C
Explanation:
Option E is the most complete answer. It creates the roles, grants necessary database creation privileges to DATA_ENGINEER, allows DATA ANALYST to use and query the database, and REPORT USER to use the database and select from the specified view. The role grants establish the hierarchy. Options A and B have incorrect grant statements for select on all tables in the database and lack the creation of Roles at the begining. Option D does not grant the roles to each other, leaving the hierarchy incomplete, and incorrectly attempts to grant select on future tables directly to a view.
NEW QUESTION # 135
A Snowflake virtual warehouse named 'TRANSFORM WH' is configured with the following parameters:
'WAREHOUSE SIZE = XSMALL', 'AUTO SUSPEND = , and 'AUTO RESUME = TRUE. During peak hours, this warehouse processes a large volume of data transformations. However, users report frequent delays as the warehouse repeatedly suspends and resumes. Which of the following changes would BEST address these performance delays while optimizing cost?
- A. Increase the to MEDIUM. A larger warehouse has more compute power and will finish tasks faster.
- B. Increase the 'AUTO_SUSPEND parameter to a larger value (e.g., 3600 seconds) to prevent frequent suspensions.
- C. Enable Multi-Cluster Warehouse with 'MIN CLUSTER COUNT = 1' and `MAX CLUSTER COUNT
= 2. This will allow Snowflake to automatically scale out the warehouse when needed. - D. Decrease the 'AUTO_SUSPEND' parameter to a smaller value (e.g., 60 seconds) to force more frequent warehouse suspensions and conserve credits.
- E. Set 'AUTO SUSPEND = NULLS. This will prevent the warehouse from ever suspending, ensuring it's always available.
Answer: C
Explanation:
Increasing (A) merely delays the problem; it doesn't solve the underlying issue of insufficient compute during peak times. Increasing `WAREHOUSE SIZE' (B) is a viable option, but Multi- Cluster warehouses (C) provide a more dynamic scaling solution. Setting 'AUTO_SUSPEND = NULL' (D) is wasteful and incurs unnecessary costs, as the warehouse will always be running, even when idle. Decreasing `AUTO SUSPEND (E) exacerbates the problem. Multi-Cluster warehouses with a reasonable range allow Snowflake to automatically scale resources based on demand, providing better performance during peak hours and cost optimization during idle periods.
NEW QUESTION # 136
......
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