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Valid Test Snowflake SOL-C01 Tutorial, SOL-C01 Test Cram Pdf

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Snowflake Certified SnowPro Associate - Platform Certification Sample Questions (Q161-Q166):

NEW QUESTION # 161
What will be returned when a user runs this command?
SELECT count FROM my_table LIMIT 10;

A. A non-deterministic set of 10 values in the count column.
B. All values in the count column that are less than or equal to 10.
C. The highest 10 values in the count column.
D. The lowest 10 values in the count column.

Answer: A

Explanation:
When a LIMIT clause is applied without an ORDER BY, Snowflake does not guarantee which rows will be returned. This means the result of:
SELECT count FROM my_table LIMIT 10;
is anon-deterministic set of 10 rows. Because Snowflake stores data in micro-partitions and distributes processing across compute resources, the natural order of rows is undefined unless explicitly controlled.
To retrieve the lowest or highest values, users must specify ORDER BY count ASC or ORDER BY count DESC respectively. Without ordering, Snowflake simply returnsany10 qualifying rows.
* Option B (highest values) requires ORDER BY count DESC.
* Option D (lowest values) requires ORDER BY count ASC.
* Option C (values # 10) requires a WHERE clause (WHERE count <= 10).
Therefore, the query returns a non-predictable sample of 10 rows from the column, making option A correct.

NEW QUESTION # 162
You have a table 'CUSTOMER REVIEWS' with a column 'REVIEW TEXT containing unstructured customer feedback. You want to use CLASSIFY TEXT to categorize these reviews into predefined categories like 'Product Quality', 'Customer Service', and 'Shipping'. You plan to create a materialized view to store the classifications for faster querying. Which of the following SQL statements is the most efficient and correct way to achieve this using CLASSIFY TEXT, assuming the function has already been granted usage privileges?

A. CREATE MATERIALIZED VIEW CLASSIFIED_REVIEWS AS SELECT REVIEW_TEXT, 'Product Quality', 'Customer Service', 'Shipping') AS CATEGORY FROM CUSTOMER REVIEWS;
B. CREATE MATERIALIZED VIEW CLASSIFIED_REVIEWS AS SELECT REVIEW_TEXT, Quality",
"Customer Service", "Shipping"]')) AS CATEGORY FROM CUSTOMER REVIEWS;
C. CREATE MATERIALIZED VIEW CLASSIFIED_REVIEWS AS SELECT REVIEW_TEXT, Quality',
'Customer Service', 'Shipping')) AS CATEGORY FROM CUSTOMER REVIEWS;
D. CREATE MATERIALIZED VIEW CLASSIFIED_REVIEWS AS SELECT REVIEW_TEXT, OBJECT CONSTRUCT('categories', ARRAY CONSTRUCT('Product Quality', 'Customer Service',
'Shipping'))) AS CATEGORY FROM CUSTOMER REVIEWS;
E. CREATE MATERIALIZED VIEW CLASSIFIED_REVIEWS AS SELECT REVIEW_TEXT, ['Product Quality', 'Customer Service', 'Shipping')) AS CATEGORY FROM CUSTOMER REVIEWS;

Answer: C

Explanation:
The correct syntax for providing categories to CLASSIFY TEXT is using ARRAY CONSTRUCT.
Option B is the only one that correctly uses ARRAY_CONSTRUCT to pass the categories as an array. Options A, C, D and E all use incorrect syntax and will result in errors. Materialized views are suitable for storing the results of CLASSIFY TEXT for performance reasons.

NEW QUESTION # 163
Which command is used to view the details of a file format object in Snowflake?

A. SHOW FILE FORMATS
B. ALTER FILE FORMAT
C. LIST FILE FORMAT
D. DESCRIBE FILE FORMAT

Answer: D

Explanation:
DESCRIBE FILE FORMAT <name> returns configuration settings such as FIELD_DELIMITER, TYPE, SKIP_HEADER, and COMPRESSION for the specified format.
SHOW FILE FORMATS only lists existing formats, not their internals.
LIST FILE FORMAT is invalid. ALTER modifies but does not display details.

NEW QUESTION # 164
You have a Snowflake environment with several databases and schemas. You need to identify all schemas within a specific database named 'CUSTOMER DATA that are currently owned by the role 'SECURITY ADMIN'. You also want to retrieve the creation date and time of each identified schema. Which of the following queries will efficiently accomplish this task?

Answer: C

Explanation:
The `snowflake.account_usage.schemas' view provides metadata about schemas, including the database name, schema name, creation date, and owner role. The correct column name for the owner role is 'owner_role' and not just `owner". 'database_name' and `name' are also correct column names. option B and D uses 'SCHEMA OWNER from 'INFORMATION_SCHEMX , and
'SCHEMA_OWNER is deprecated and less reliable for role ownership. It's important to use the
`account_usage' views for comprehensive and accurate metadata retrieval. Option A requires parsing the output of 'SHOW SCHEMAS", which is less efficient than a direct query.

NEW QUESTION # 165
You are designing a Snowflake UDF to parse log files. The UDF needs to accept the log file content as a string argument and a configuration parameter that specifies the log format. Which of the following approaches is MOST efficient and allows for easy updates to the log format without redeploying the UDF?

A. Store the log format in a named stage and create a function to retrieve the format from the stage using 'GET_OBJECT.
B. Pass the log format as a string argument directly to the UDF. Parse the string within the UDF to extract the format definition.
C. Store the log format in a separate table and use a Snowflake lookup within the UDF to retrieve the format based on a key passed as an argument.
D. Store the log format in a Snowflake secret and retrieve it using the SYSTEM$GET SECRET function, passing the secret name as an argument to the UDF.
E. Use a stage to store the log format definition as a JSON file. Read the file content from the stage within the UDF using the 'EXTERNAL _ TABLE function.

Answer: D

Explanation:
Option E is the best solution. Storing the log format in a Snowflake secret offers the most secure and manageable approach. Secrets are designed to store sensitive configuration data, and SYSTEM$GET_SECRET ensures that the UDF can access the format without embedding it directly in the code. This allows for updates without redeploying the UDF. Options A, B, C, and D have drawbacks. Passing as a string (A) is inefficient and less secure. Table lookup (B) adds overhead. External tables/stages (C and D) are more complex and might not be necessary for simple configuration data.

NEW QUESTION # 166
......

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