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Snowflake SOL-C01 Exam Syllabus Topics:

Topic
Details

Topic 1

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.

Topic 2

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.

Topic 3

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.

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.

Snowflake Certified SnowPro Associate - Platform Certification Sample Questions (Q15-Q20):

NEW QUESTION # 15
A Snowflake account has multiple custom roles, including `DATA ADMIN', 'ANALYST , and
'REPORTING'. The `DATA ADMIN role should be able to grant all privileges on any object in the
'SALES' database to other roles. Which of the following approaches is the MOST secure and efficient way to achieve this?

A. Grant the 'ALL PRIVILEGES' on the 'SALES' database and all its objects to the `DATA_ADMIN' role.
B. Grant the OWNERSHIP privilege on the SALES database to the DATA ADMIN role. When an object is created the DATA ADMIN must take ownership of the newly created object.
C. Grant the 'OWNERSHIP privilege on the ` SALES' database to the 'DATA_ADMIN' role. Then, set as the owner of all objects within the database.
D. Create a custom role hierarchy where 'DATA_ADMIN' inherits all privileges from the
'ACCOUNTADMIN' role.
E. Grant USAGE on the 'SALES' database to the 'DATA ADMIN' role and manually grant all other individual privileges as needed to the `DATA ADMIN' role.

Answer: C

Explanation:
Granting the `OWNERSHIP' privilege on the database allows the 'DATA_ADMIN' role to grant all privileges on the database and all its objects to other roles. Option B, granting 'ALL PRIVILEGES' , does not automatically propagate the ability to grant those privileges to other roles. Option C is inefficient. Option D is incorrect; custom roles cannot inherit directly from
`ACCOUNTADMIN'. Option E is partially correct, but missing the critical step of initially granting OWNERSHIP on the database itself.

NEW QUESTION # 16
You are using Snowflake to store sensor data, which comes in the form of JSON. Each JSON document contains fields like `timestamp' , 'sensor_id' , and a variable number of readings stored within a JSON array called 'readings'. You need to query this data to find the average of all
'readings' for a specific 'sensor _ id' for a given day. Which of the following approaches provides the MOST efficient query performance, assuming the 'readings' array can contain a large number of values?

A. Use `LATERAL FLATTEN' to explode the `readings' array into rows and then calculate the average using the `AVG' function.
B. Load the data into a relational table with a separate column for each potential reading, based on the maximum possible number of readings.
C. Use a stored procedure to iterate through each JSON document and calculate the average.
D. Use the 'GET_PATH' function repeatedly within the query to extract each reading and then calculate the average.
E. Create a IJDF in Python to calculate the average directly from the JSON document.

Answer: A

Explanation:
'LATERAL FLATTEN' is the recommended approach for efficiently querying data stored in JSON arrays. Exploding the array into rows allows you to leverage Snowflake's columnar architecture and aggregation functions for optimal performance. Option B is not suitable for variable number of readings and results in wide tables with nulls, harming performance. Option C and D are inefficient due to overhead of IJDF or Stored Procedure. Option E is less performant than Flatten because it requires multiple calls to GET PATH and struggles when the number of elements is unknown.

NEW QUESTION # 17
Which of the following is true about data listings in the Snowflake Marketplace?

A. They always require payment for access.
B. They are only accessible to Snowflake administrators.
C. They are limited to static data snapshots.
D. They can be free or paid, depending on the provider's terms.

Answer: D

Explanation:
Data listings in the Snowflake Marketplace can be offered asfree or paiddepending on how the provider chooses to distribute the data. Providers can use usage-based pricing, subscription models, or make datasets available at no cost. Listings are not restricted to static data; Snowflake supportslive data sharing, enabling instant access to continuously updated datasets without copying or ETL. Listings are accessible to any Snowflake user with the appropriate marketplace access-not exclusively administrators. This flexibility makes the Marketplace a powerful ecosystem where organizations can seamlessly obtain external datasets for analytics, machine learning, and reporting needs. Providers define terms of use, pricing, and refresh schedules, while Snowflake manages the secure data-sharing infrastructure.

NEW QUESTION # 18
You are tasked with creating a table in Snowflake to store customer order data. You need to ensure that the 'order date' column always defaults to the current date if no value is provided during insertion. Additionally, you want to enable automatic clustering on the 'customer id' column to optimize query performance for order retrieval by customer. Which of the following SQL statements correctly date DATE DEFAULT CURRENT DATE) ORDER BY (customer_id); achieves this?

A. Option D
B. Option E
C. Option A
D. Option C
E. Option B

Answer: C

Explanation:
Option A is correct because it creates a table with a default value for 'order_date' using
'DEFAULT CURRENT_DATE and specifies clustering on 'customer_id' using `CLUSTER BY (customer_id)' during table creation. Snowflake supports specifying clustering keys during table creation. Option B is incorrect because 'ORDER BY' clause is used for ordering the data during query, not for clustering. Option C is also correct as the 'CLUSTER BY' can be done using ALTER statement as well . Option D is incorrect because Snowflake does not use traditional indexes and the syntax 'CREATE CLUSTERING INDEX is invalid. option E is incorrect because
'AUTOMATIC CLUSTERING BY' is not a valid syntax.

NEW QUESTION # 19
Which of the following file formats can be processed by the PARSE_DOCUMENT function?

A. DOCX
B. PPTX
C. PDF
D. XLSX

Answer: A,B,C

Explanation:
PARSE_DOCUMENT extracts text and, depending on mode, layout information from supported document formats. The function currently supportsPDF,PPTX, andDOCXfiles. For PDFs, it can perform OCR to extract scanned text or use LAYOUT mode to detect tables and structured regions. For PPTX files, it extracts slide text and content. For DOCX files, the function captures text and applies layout analysis. XLSX files are not supported-Excel content requires different extraction methods. PARSE_DOCUMENT enables automated document intelligence workflows entirely inside Snowflake, eliminating the need for external OCR or parsing services.

NEW QUESTION # 20
......

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