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| Topic | Details |
|---|
| 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 | - 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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| 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 | - 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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Snowflake Certified SnowPro Associate - Platform Certification Sample Questions (Q29-Q34):
NEW QUESTION # 29
What cell types are available in Snowflake Notebooks? (Select THREE).
- A. Java
- B. Python
- C. R
- D. Scala
- E. Markdown
- F. SQL
Answer: B,E,F
Explanation:
Snowflake Notebooks currently support three primary cell types: SQL, Python, and Markdown. SQL cells allow users to execute SQL queries directly against Snowflake data. Python cells enable computation, data transformation, machine learning, and visualization using Snowpark, pandas-like APIs, and Python libraries.
Markdown cells provide rich text formatting to document workflows, add explanations, and create readable narratives within the notebook.
Languages such as Java, Scala, and R are supported by Snowflake outside notebooks-for example, through Snowpark APIs or external integrations-but they cannot be used directly as Notebook cell types. Notebooks are designed to integrate SQL and Python seamlessly while providing a documentation layer, making SQL, Python, and Markdown the correct and only supported options.
NEW QUESTION # 30
A team is developing a data pipeline to load data from various sources into Snowflake. They are using external stages pointing to AWS S3 buckets and want to ensure maximum security and isolation between different pipelines accessing these stages. Which of the following security measures should they implement? (Choose TWO)
- A. Store all data files in a single S3 bucket and grant a single IAM role access to the entire bucket.
- B. Use separate IAM roles for each pipeline, granting each role only the necessary permissions to access its specific S3 bucket.
- C. Disable network policies on the Snowflake account to allow access from any IP address.
- D. Grant the 'ACCOUNTADMIN' role to all users who need to access the stages.
- E. Create separate external stages for each pipeline, each pointing to its specific S3 bucket and associated with its own IAM role.
Answer: B,E
Explanation:
Using separate IAM roles (B) for each pipeline enforces the principle of least privilege, granting each pipeline only the necessary access to its designated S3 bucket. Creating separate external stages (D) for each pipeline, linked to its specific S3 bucket and IAM role, provides isolation and prevents unauthorized access to other pipelines' data. Granting 'ACCOUNTADMIN' (A) provides excessive privileges. Storing all data in a single bucket (C) with a single IAM role increases the risk of data breaches. Disabling network policies (E) compromises overall security.
NEW QUESTION # 31
You need to transfer ownership of a table named 'CUSTOMER DATA' in the 'SALES' schema of the 'RETAIL DB' database from the 'ANALYST ROLE' to the 'DATA ENGINEER ROLE'. However,
'DATA ENGINEER ROLE already has the 'SELECT' privilege on the table. You want to achieve this transfer with minimal downtime and ensure that the 'DATA ENGINEER ROLE retains all existing privileges after the ownership transfer. Which command is the most efficient and correct way to accomplish this?
Answer: E
Explanation:
The `GRANT OWNERSHIP ... COPY CURRENT GRANTS command atomically transfers ownership and retains all existing privileges. Option A would revoke all privileges from the original owner, not what was asked. Option B will have syntax error as you cannot REVOKE OWNERSHIP. Option D does not exist, so this command fails. Option E revokes the original user's privs. The copy grants feature preserves already granted privileges.
NEW QUESTION # 32
A company wants to implement row-level security in their Snowflake data warehouse to restrict access to sales data based on the user's region. They have a table 'SALES with a 'REGION' column and want to ensure that users can only see sales data for their assigned region. They plan to use row access policies for this. Which of the following steps are REQUIRED to implement this row-level security?
- A. Create a view on top of the 'SALES' table with a 'WHERE clause that filters data based on the user's region, and then grant 'SELECT privileges on the view to the users. No Row access policy needs to be created.
- B. Create a row access policy that references a mapping table or function to determine the user's allowed regions, and then apply the policy to the 'SALES' table. No additional privileges are required for the users.
- C. Create a row access policy that directly embeds the region filtering logic, and then apply the policy to the 'SALES table. Grant the APPLY ROW ACCESS POLICY privilege to the users.
- D. Create a row access policy that references a mapping table or function to determine the user's allowed regions, and then apply the policy to the 'SALES' table. Also, grant SELECT on the SALES Table to the reporting role.
- E. Create a row access policy that references a mapping table or function to determine the user's allowed regions, and then apply the policy to the 'SALES' table. Grant the APPLY ROW ACCESS POLICY privilege to the users.
Answer: D
Explanation:
Row access policies implement row-level security. The policy needs to reference a mapping table or function to determine allowed regions. Applying the policy to the table enforces the security.
Users don't need the 'APPLY ROW ACCESS POLICY privilege; this is for managing the policies, not accessing the data secured by them. Creating a view (option C) is an alternative, but row access policies are a dedicated mechanism. Embedded logic (option D) is less flexible and maintainable. Option E is best because after you create the row access policy and apply it to the sales table, any user with select on the sales table will have the Row Access Policy applied to them.
NEW QUESTION # 33
What Snowflake object is used to organize database objects into logical groupings?
- A. Schemas
- B. Stages
- C. Tables
- D. Roles
Answer: A
Explanation:
Schemas serve as logical containers within a database, grouping tables, views, file formats, functions, and other objects.
Roles control access, not organization.
Tables store data but do not group objects.
Stages store files or point to external storage; they are not organizational containers.
NEW QUESTION # 34
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