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[General] Top Reliable SOL-C01 Exam Prep - Unparalleled & Useful SOL-C01 Materials Fre

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【General】 Top Reliable SOL-C01 Exam Prep - Unparalleled & Useful SOL-C01 Materials Fre

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Snowflake SOL-C01 Exam Syllabus Topics:
TopicDetails
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.
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.
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.
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 (Q126-Q131):NEW QUESTION # 126
A data provider wants to share a secure view called 'SALES SUMMARY' from the 'RETAIL DATA' database with a consumer. The provider needs to ensure that the consumer can only query the view and cannot see the underlying tables. Which of the following steps are required to accomplish this? l. Create a secure view 'SALES SUMMARY'. II. Create a share. Ill. Grant
'SELECT' privilege on the 'SALES SUMMARY' view to the share. IU Grant 'USAGE privilege on the 'RETAIL DATA' database to the share. V. Grant `USAGE' privilege on the schema containing
`SALES SUMMARY' to the share.
  • A. II and III only
  • B. l, II, III, IV, and V
  • C. l, II, and III only
  • D. II, III, and V only
  • E. l, II, III, and IV only
Answer: B
Explanation:
To share a secure view, you need to create the view, create a share, grant SELECT on the view to the share, grant USAGE on the database to the share, and grant USAGE on the schema containing the view to the share. All steps l, II, III, IV and V are required.

NEW QUESTION # 127
A data scientist is using Snowflake Notebooks to analyze sales data. They have encountered a situation where a specific cell containing a complex UDF that calculates customer lifetime value is consistently failing with an obscure error. The error message is not providing enough information to pinpoint the root cause. Considering the limitations and features of Snowflake Notebooks, what is the MOST effective approach to debug this UDF without disrupting the entire notebook session and while preserving the data context within the notebook environment?
  • A. Download the entire notebook as a Python script, run it in a local Python environment with enhanced debugging tools (e.g., pdb), and then translate the fixes back to the Snowflake Notebook.
  • B. Since Snowflake Notebooks have limited debugging capabilities, the best approach is to rewrite the entire UDF using simpler SQL statements to avoid complex logic and potential errors.
  • C. Leverage the Snowflake query history to examine the compiled SQL generated by the UDF, searching for potential syntax errors or misinterpretations of input data types. Utilize EXPLAIN PLAN to understand query execution.
  • D. Replace the UDF cell with a simple SELECT statement to confirm connectivity and basic notebook functionality, then gradually reintroduce complexity into the UDF code to isolate the issue.
  • E. Isolate the UDF code and relevant input data into a separate Snowflake Stored Procedure. Debug the Stored Procedure using Snowflake's built-in debugging features, then reintegrate the corrected code into the notebook.
Answer: E
Explanation:
Isolating the IJDF into a stored procedure allows for focused debugging using Snowflake's debugging tools. While options A and C are helpful for initial troubleshooting, they don't provide the same level of detailed debugging as option D. Option B is less efficient due to the need to translate code between environments, and option E might not be feasible if the UDF's complexity is necessary for accurate results.

NEW QUESTION # 128
What are Snowflake customers responsible for?
  • A. Managing the hardware on which Snowflake is installed
  • B. Software installation and updates
  • C. Managing table metadata
  • D. Loading, unloading, and managing data
Answer: D
Explanation:
As a fully managed cloud data platform, Snowflake is responsible for infrastructure provisioning, hardware, software installation, platform upgrades, scaling, and internal metadata management such as micro-partitions and statistics. Customers do not manage physical hardware or install Snowflake software.
Customers are responsible for their data and its lifecycle within Snowflake. This includes loading data into tables from internal and external sources, unloading data when required, organizing data structures (databases, schemas, tables), defining access controls, and managing how data is used, transformed, and governed. They design schemas and workloads but do not manage the underlying engine. Therefore, "Loading, unloading, and managing data" correctly describes the customer's responsibility.

NEW QUESTION # 129
A data engineer is tasked with designing a Snowflake solution for a financial services company that needs to perform real-time fraud detection. The solution needs to leverage external models trained in Python using Snowpark ML and ingest data from various sources, including Kafka streams and S3 buckets. Which of the following architectural choices would best leverage the Snowflake A1 Data Cloud capabilities for this scenario?
  • A. Utilize Snowflake's Snowpark ML to deploy and manage models directly within Snowflake, integrate with Kafka using Snowflake Kafka connector, and use external tables for S3 data access.
  • B. Create a separate Spark cluster to process Kafka streams and use the Snowflake Spark connector to write the processed data to Snowflake. Use COPY INTO for S3 data, and deploy the ML model using Snowflake external functions calling a Databricks cluster.
  • C. Use Snowflake's Streamlit integration for real-time data visualization of Kafka streams, and use Snowpark ML to deploy and manage models directly within Snowflake, loading data from S3 via COPY INTO.
  • D. Employ Snowflake's Snowpipe for Kafka integration, use Snowflake Tasks to schedule data loading from S3, and leverage Snowflake's native SQL capabilities for fraud detection without employing external models.
  • E. Use Snowflake external functions to call a separate SageMaker endpoint for model inference and load data from Kafka using Snowpipe and S3 using COPY INTO.
Answer: A,C
Explanation:
Option B and E offer the best solutions. Option B leverages Snowflake's Snowpark ML for model management within Snowflake, Snowflake Kafka connector for direct Kafka integration, and external tables to avoid data duplication for S3. Option E complements B by adding Streamlit integration for Real Time Visualization of Kafka Streams. Option A, C and D introduce unnecessary external dependencies (SageMaker, Spark, Databricks) and don't fully utilize Snowflake's native capabilities for data processing and ML model deployment. Choosing native capabilities minimizes complexity and operational overhead.

NEW QUESTION # 130
A data analyst needs to create a view named that aggregates sales data by month. The base table sales_transactions' contains columns 'transaction_id' , 'transaction_date' , and
'sales_amount' . The analyst wants to ensure that only users with the 'ANALYST' role can query this view. Which of the following SQL statements correctly creates the view and grants the necessary privileges?

  • A. Option C
  • B. Option A
  • C. Option E
  • D. Option B
  • E. Option D
Answer: D
Explanation:
Option B correctly creates or replaces the view to aggregate sales data by month and then grants the SELECT privilege on the view to the `ANALYST role, enabling them to query the view. Option A will fail if the view already exists. Option C incorrectly adds row access policy which is not necessary here. Option D is about Future grants and not correct here. Option E Creates a secure view, while correct is not the most optimal or requested answer to resolve the problem statement.

NEW QUESTION # 131
......
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