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[General] Newest Exam SOL-C01 Registration | SOL-C01 100% Free Training Pdf

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【General】 Newest Exam SOL-C01 Registration | SOL-C01 100% Free Training Pdf

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Snowflake Certified SnowPro Associate - Platform Certification Sample Questions (Q102-Q107):NEW QUESTION # 102
You are working with a dataset containing customer purchase information stored in a VARIANT column named 'PURCHASE DATA. This column contains JSON data with nested arrays and varying schemas. You need to extract all unique product categories purchased by customers who have spent more than $1000 in total. How can you achieve this most efficiently in Snowflake?
  • A.
  • B.
  • C.
  • D.
  • E.
Answer: B
Explanation:
Option E provides the most efficient and correct solution. It utilizes for flattening the JSON array, which is more readable than 'LATERAL FLATTEN'. It filters based on 'total_spent' before flattening. The other options are less efficient or incorrect. Option A uses a temporary table which is generally less efficient. Option B does not correlate the CTE with the main table
'CUSTOMERS', hence failing to relate to the customer's total spend. Option C directly refers to without correlation to the customer table and it won't work since FLATTEN on a column requires the tablename as well. D's usage of 'EXPLODE is not standard Snowflake SQL syntax for JSON flattening.

NEW QUESTION # 103
What is a key characteristic of the Snowflake architecture's Cloud Services Layer?
  • A. It handles security and metadata management.
  • B. It manages virtual warehouses.
  • C. It stores all customer data.
  • D. It provides the user interface for Snowsight.
Answer: A
Explanation:
The Cloud Services Layer is the coordination and control layer of Snowflake's architecture. One of its primary responsibilities is managing security, metadata, authentication, and system-wide services. This layer handles user authentication, role-based access control, metadata services (such as table structures, micro- partition metadata, statistics), query parsing, optimization, execution coordination, and transaction management.
It does not store customer data; storage is handled by the Database Storage Layer using micro-partitions. It does not manage virtual warehouses directly; warehouses are part of the Compute Layer. While Snowsight is a UI that interacts with the Cloud Services Layer, the interface itself is not part of the architectural layer.
The Cloud Services Layer essentially acts as the "brain" of Snowflake, ensuring the platform is consistent, secure, optimized, and able to scale operations intelligently across compute clusters and cloud-native storage environments.

NEW QUESTION # 104
Which command is synonymous with the LIST command in Snowflake?
  • A. LIS
  • B. DESC
  • C. SHOW
  • D. LS
Answer: D
Explanation:
Snowflake allows users to list files in a stage using the LIST command, and it provides a shorthand alias: LS.
Both commands return identical results, including file name, size, last modified timestamp, and other metadata stored in the stage. This is relevant for internal stages (user, table, named stages) and external stages backed by cloud storage. SHOW and DESC are unrelated commands-SHOW lists Snowflake metadata objects such as tables, schemas, or roles, while DESC describes object structures. "LIS" is not a Snowflake command. Therefore, LS is the exact shorthand synonym for LIST and is used identically in queries.

NEW QUESTION # 105
You are working with a Snowflake external stage that contains a mix of structured and unstructured data. Specifically, you have a directory in your S3 bucket that contains both CSV files and JSON files. You have enabled directory tables for this stage. You want to create a view that combines data from both the CSV and JSON files. How can you effectively achieve this using the directory table, considering that the CSV and JSON files have different schemas?
  • A. Create a single view that uses the 'METADATA$FILENAME column in the directory table to dynamically parse the data based on the file extension (CSV or JSON) using conditional functions within the view definition.
  • B. It's not possible to combine data from different file formats (CSV and JSON) directly using directory tables. You need to load the data into separate internal Snowflake tables first.
  • C. Create a stored procedure that reads the directory table metadata, determines the file type for each file, and then dynamically creates and executes SQL statements to load the data into a single table.
  • D. Create two separate views, one for the CSV files and one for the JSON files, using the
    'METADATA$FILENAME column in the directory table to filter the files for each view. Then, create a UNION ALL view on top of those views.
  • E. Create a single external table that automatically detects the file format and schema based on the file extension and loads the data accordingly. Directory tables will then work automatically with this table.
Answer: D
Explanation:
The most effective approach is to create separate views for each file format (CSV and JSON) and then combine them using a UNION ALL' view. This allows you to handle the different schemas of the CSV and JSON files separately and then present a unified view of the data. Options B and E are more complex and less maintainable. Option C is incorrect because external tables do not automatically detect file formats with mixed data types and schemas. Option D is also incorrect as the directory table can be queried directly with appropriate views.

NEW QUESTION # 106
A data engineer needs to create a new database named `SALES DATA in Snowflake. They want to ensure that only users with the 'ACCOUNTADMIN' role can initially modify the database. After creation, they will grant specific privileges to other roles. Which of the following SQL statements is the most appropriate way to create the database with these requirements?
  • A. CREATE OR REPLACE DATABASE SALES DATA;
  • B. CREATE DATABASE SALES DATA COMMENT = 'Sales Data Database';
  • C. CREATE DATABASE SALES DATA WITH OWNER = 'ACCOUNTADMIN';
  • D. CREATE DATABASE SALES DATA;
  • E. CREATE DATABASE SALES DATA WITH DATA RETENTION TIME IN DAYS-I;
Answer: D
Explanation:
Option A creates the database. Initially, 'ACCOUNTADMIN' role has ownership and thus can modify it. Options B, C, and E are valid syntax but do not explicitly restrict initial modification access to only `ACCOUNTADMIN' post-creation. Option D is invalid syntax as OWNER cannot be specified during database creation. Permissions are managed separately using GRANT statements after creation.

NEW QUESTION # 107
......
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