無料PDFSnowflake SOL-C01: Snowflake Certified SnowPro Associate - Platform Certificationテスト対策書 -最高のCertJuken SOL-C01模擬問題集

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Snowflake SOL-C01 認定試験の出題範囲:

トピック出題範囲
トピック 1
  • 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.
トピック 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.
トピック 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.
トピック 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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SOL-C01模擬問題集 & SOL-C01最新問題

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Snowflake Certified SnowPro Associate - Platform Certification 認定 SOL-C01 試験問題 (Q20-Q25):

質問 # 20
You are tasked with securing sensitive data in a table called `CUSTOMER DATA'. You want to grant the 'SELECT privilege on this table to a role called 'ANALYST ROLE, but prevent them from seeing the 'CREDIT CARD NUMBER column, which contains personally identifiable information (PII). Which of the following approaches are valid in Snowflake to achieve this?

正解:A、C、D

解説:
Option A is valid: Creating a view and granting 'SELECT on the view allows you to control which columns are visible to the 'ANALYST ROLE. Option B is valid: Dynamic data masking allows you to mask the sensitive column for unauthorized users (in this case, 'ANALYST_ROLE') while allowing authorized users to see the unmasked data using the 'UNMASK' privilege. Option C is invalid: You cannot revoke privileges on a specific column; privileges are granted and revoked at the table level. Option D is incorrect: Row Access Policies filter rows, not columns. Option E is valid: Secure views are the most secure way to filter the specific data.


質問 # 21
Which of the following are valid Snowflake Virtual Warehouse sizes? (Choose any 3 options)

正解:B、C、D

解説:
Snowflake warehouse sizes followT-shirt sizing, each representing a doubling of compute resources relative to the previous size. Valid Snowflake warehouse sizes includeX-Small,Small,Medium,Large, and up to6X- Large.
X-Smallis the smallest supported warehouse size and is commonly used for light data processing, development tasks, and low-volume operations.
Smalldoubles the compute capacity of X-Small, providing better performance for moderate workloads.
Mediumcontinues scaling upward, offering increased CPU, memory, and parallelism for heavier analytics or transformation workloads.
Tinyis not a Snowflake warehouse size. Snowflake never exposes a warehouse smaller than X-Small, ensuring consistent minimum compute capabilities.
These standardized size tiers allow predictable resource scaling and cost forecasting.


質問 # 22
How can you query semi-structured data (e.g., JSON) stored in a Snowflake VARIANT column?

正解:D

解説:
Semi-structured data like JSON stored in a VARIANT column can be queried directly usingpath notation, either dot notation or bracket notation.
Examples:
* Dot notation:SELECT data:customer.name FROM table;
* Bracket notation:SELECT data['customer']['name'] FROM table;
Snowflake automatically interprets the JSON structure, making relational extraction unnecessary. Complex fields can be accessed through functions such as FLATTEN, OBJECT_KEYS, ARRAY_SIZE, and TYPEOF.
Incorrect options:
* Converting JSON to a relational table is optional, not required.
* Stored procedures are not necessary for JSON querying.
* WHERE on the full VARIANT cannot precisely extract fields.
Thus, path notation is the native, efficient method.


質問 # 23
You are tasked with transferring ownership of a database named 'FINANCIAL DATA' from the
'ACCOUNTADMIN' role to a custom role named 'DATA GOVERNANCE'. After the transfer, the
'DATA GOVERNANCE' role should have full control over the database. Which of the following steps must be performed to ensure a successful ownership transfer?

正解:A

解説:
The `GRANT OWNERSHIP command automatically revokes the OWNERSHIP privilege from the previous owner and grants it to the new owner. The user executing must have the necessary privileges to grant OWNERSHIP. The role receiving ownership needs no special privileges beforehand, as it is gaining complete control. Option C suggests 'USAGE privilege must be granted beforehand, which is not necessarily needed to transfer Ownership. Option D implies other privileges must be explictly granted but 'OWNERSHIP' already grants all permissions.
Option E requires that the DATA_GOVERNANCE role must be current role for user which is unnecessary.


質問 # 24
A data provider wants to share a secure view 'SECURE VIEW SALES' from database 'DB RETAIL' to a consumer account using a private listing within the Snowflake Data Exchange. The provider has already created the listing. Which of the following steps are necessary to grant the consumer access, assuming the consumer account identifier is 'XYZ 12345'?

正解:E

解説:
Adding the consumer account to the private listing from the Data Exchange provider interface is the action that allows the consumer to access the share. The other options are not directly related to providing access via a private listing within the Data Exchange. Granting privileges on the share is typically done for direct shares, not data exchange shares. Consumers consume the whole shared database.


質問 # 25
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SOL-C01模擬問題集: https://www.certjuken.com/SOL-C01-exam.html

P.S. CertJukenがGoogle Driveで共有している無料かつ新しいSOL-C01ダンプ:https://drive.google.com/open?id=16vjR1MZFvnX6HrNDU7QSGQ6Ckwb-CNMm

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