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Snowflake SOL-C01 Exam Syllabus Topics:

Topic	Details
Topic 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.
Topic 2	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 3	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 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 (Q18-Q23):

NEW QUESTION # 18
You are tasked with loading JSON log files stored in an external stage named "s3_logs' into a Snowflake table called 'raw_logs'. The JSON files contain a 'timestamp' field as a string, and you need to ensure that the 'raw_logs' table contains a valid Snowflake timestamp. The stage 's3_logS points to an S3 bucket that has hundreds of JSON log files. You want to use a directory table to incrementally load new files.
Which of the following sequences of commands would be the MOST efficient and correct way to achieve this? Assume the directory table already exists and is refreshed periodically. Also, assume the 'raw_logs' table has a variant column named 'raw data' and a timestamp column named 'log_time'

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

Answer: C

Explanation:
Option D correctly utilizes the `DIRECTORY to identify files within the stage based on the directory table, avoiding a full stage scan. It also correctly parses the JSON data and converts the
`timestamp' field to a Snowflake timestamp. Option A would only work if the directory table didn't exist. Options B and E are unnecessarily filtering based on row number, which isn't relevant when identifying new files. Option C tries to access raw_data before it's been defined.

NEW QUESTION # 19
You have a base table called `customer data' which contains sensitive information like credit card numbers. You need to create a view called that exposes only non-sensitive columns (e.g., customer_id, customer_name, city) and hides the logic of the underlying table's structure.
Additionally, you want to ensure that no user can directly query the 'customer_data' table. Which of the following steps are necessary to achieve this?

A. Create a standard view `customer_summary' selecting only the desired columns from
'customer_data' . Grant SELECT privilege on to the required roles. Do not revoke privileges on the base table.
B. Create a secure view `customer_summary' selecting only the desired columns from
'customer_data' .
Revoke SELECT privilege on `customer_data' from all roles except the role that owns the table.
C. Create a standard view `customer_summary' selecting only the desired columns from
`customer_data'. Revoke SELECT privilege on `customer_data' from all roles except the role that owns the table.
D. Create a secure view `customer_summary' selecting all columns from `customer_data'. Grant SELECT privilege on `customer_summary' to the required roles.
E. Create a materialized view `customer_summary' selecting only the desired columns from
`customer_data'. Revoke SELECT privilege on `customer_data' from all roles except the role that owns the table.

Answer: B

Explanation:
Option C provides the correct solution. Creating a secure view 'customer_summary' hides the base table structure from users and ensures that they can only access the data through the view.
Revoking SELECT privileges on the `customer_data' table prevents direct access to the sensitive data, making it accessible only through the view, and only to those with privilege on the view.
Materialized views are not appropriate here because their data is physically stored, and the need is to hide the base table not improving the performance. Option D is incorrect because without revoking the base table privilege, users can query the base table directly. Option E will display all the column.s

NEW QUESTION # 20
A Snowflake table 'ORDERS' contains order data, including a `ORDER DATE' column of type DATE. You want to load data from a CSV file into this table. The CSV file contains the order date in various formats, such as 'YYYY-MM-DD', 'MM/DD/YYYY', and 'DD.MM.YYYY'. You need to load the data into the 'ORDERS' table while consistently converting all date formats into the
'YYYY-MM-DD' format. Which COPY INTO statement snippet is most appropriate for handling the date format variations?

Answer: C

Explanation:
Option E provides the most robust solution by using 'TRY TO DATE' to attempt conversion from multiple possible date formats. If a conversion is successful, it converts DATE to VARCHAR, and if none are successful, it sets the value to NULL. The 'TO VARCHAR' function ensures that output is in YYYY-MM-DD' format. Other options may either fail or not handle different date formats correctly. The 'TRANSFORM AS SELECT clause within the "COPY INTO' statement provides flexibility in transforming the input data during the load process. Make sure that stage is set to internal stage when referencing itself.

NEW QUESTION # 21
A user named 'DATA LOADER is responsible for loading data into a table named 'ORDERS' in the 'PUBLIC' schema of the 'SALES DB' database. Initially, 'DATA LOADER had the 'INSERT' privilege on the 'ORDERS' table. However, after a recent security audit, it was determined that
'DATA LOADER should only have the ability to insert data without being able to see existing data in the table. What is the MOST appropriate action to take?

A. Revoke the 'INSERT privilege from 'DATA LOADER and grant the 'WRITE privilege instead.
B. No change is required, as 'INSERT privilege alone does not grant access to view existing data.
C. Revoke the 'INSERT privilege from and grant the ` APPLY MASKING POLICY privilege instead.
D. Create a view on the "ORDERS' table that excludes all columns, grant 'SELECT on the view to
'DATA_LOADER , and revoke 'SELECT on the base table.
E. Revoke the 'SELECT privilege from 'DATA_LOADER on the 'ORDERS' table.

Answer: B

Explanation:
The INSERT privilege, by itself, only allows a user to insert data into a table. It does not grant the ability to see existing data via SELECT. If the user only has the INSERT privilege, no action is required. If the user had other privileges, it could have allowed them to see data.

NEW QUESTION # 22
A company is experiencing inconsistent query performance in their Snowflake environment.
Some queries execute quickly, while others, seemingly similar, take significantly longer. They suspect that the virtual warehouse sizing is not optimal. Which of the following strategies would be the MOST comprehensive approach to diagnosing and resolving this issue, assuming you have access to Snowflake's monitoring tools and SQL?

A. Implement Resource Monitors to limit the credit usage of specific users or groups. This will prevent a single user from monopolizing warehouse resources and impacting other users' query performance.
B. Continuously monitor the warehouse's CPU utilization and memory usage during peak hours. If utilization is consistently high, immediately upgrade the warehouse to the next larger size.
C. Enable the Query Acceleration Service. This will automatically improve query performance.
D. Cluster the tables that are frequently joined together, especially those involved in slow queries.Also, monitor average query execution time based on warehouse size over time to find an optimal size.
E. Use the Snowflake web interface to review query history and identify queries with long execution times. Analyze the query profiles of these slow queries to pinpoint performance bottlenecks such as full table scans or inefficient joins.

Answer: D,E

Explanation:
While monitoring CPU utilization (A) is helpful, it's not the most comprehensive. Query Acceleration service (B) may help to accelerate, but will not diagnose the underlying issue.
Resource Monitors (D) address credit usage but don't directly improve query performance. The most comprehensive approach is to analyze slow queries using query profiles (C) to understand bottlenecks. Then you must improve data locality by Clustering Tables(E). Also, the sizing of a warehouse needs monitoring over time to ensure its performing at it's best. The best choice is to first identify the root cause of performance issues (C, E) before taking action.

NEW QUESTION # 23
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