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Snowflake Certified SnowPro Associate - Platform Certification Sample Questions (Q146-Q151):

NEW QUESTION # 146
A data engineer is tasked with creating a hierarchical structure for managing data access. They need to create a database named 'analytics db', a schema named 'reporting schema', and several views within the schema. These views will be used by different teams with varying levels of access. Which of the following SQL statements demonstrates the correct order and structure for creating these Snowflake objects, considering the object hierarchy?

A. CREATE VIEW AS SELECT FROM tablel ; CREATE SCHEMA reporting_schema; CREATE DATABASE analytics_db;
B. CREATE DATABASE analytics_db; CREATE SCHEMA CREATE VIEW AS SELECT FROM tablel;
C. CREATE SCHEMA reporting_schema; CREATE DATABASE analytics_db; CREATE VIEW reporting_schema.viewl AS SELECT FROM tablel ;
D. CREATE DATABASE analytics_db; CREATE SCHEMA reporting_schema IN DATABASE analytics_db; CREATE VIEW AS SELECT FROM tablel;
E. CREATE SCHEMA reporting_schema; CREATE DATABASE analytics_db; CREATE VIEW AS SELECT FROM tablel ;

Answer: D

Explanation:
Option D correctly reflects the Snowflake object hierarchy: Database Schema -> View. It first creates the database Then, it creates the schema `reporting_schema' within the `analytics_db' database. Finally, it creates the view `viewl within the analytics_db.reporting_schema' schema.
Other options are syntactically incorrect or do not follow the correct object hierarchy. Note the 'IN DATABASE' clause is required when specifying database name with Schema Create statement.
Option C is incorrect since you can't create a schema in a database like that.

NEW QUESTION # 147
You are tasked with classifying a large dataset of customer support tickets using Snowflake Cortex's CLASSIFY TEXT function. You need to ensure optimal performance and cost- effectiveness. Which of the following strategies would be MOST effective?

A. Use a very large warehouse (e.g., X-LARGE) to execute the CLASSIFY _ TEXT function, regardless of the data volume. Larger warehouses always provide faster processing.
B. Profile the execution time of CLASSIFY _ TEXT with different warehouse sizes and choose the smallest warehouse that meets your performance requirements. Store the results in a materialized view.
C. Disable auto-suspension on your warehouse to keep it running continuously while classifying the data. This will prevent any potential startup delays.
D. Increase the parameter to a very high value to prevent query failures due to the long processing time of CLASSIFY TEXT.
E. Load all customer support tickets into a single very wide row and classify that single row using CLASSIFY _ TEXT. This minimizes the number of rows processed.

Answer: B

Explanation:
Option C is the most sensible approach. Profiling with different warehouse sizes allows you to determine the optimal balance between performance and cost. Using a materialized view ensures that the classification is only performed once, and subsequent queries are faster. Option A is wasteful, as a very large warehouse may not be necessary. Option B addresses timeout issues but doesn't optimize performance or cost. Option D is also wasteful and can lead to unnecessary costs. Option E is illogical as CLASSIFY _ TEXT is applied to text and not a representation of the entire dataset in a single row.

NEW QUESTION # 148
A data scientist wants to use the COMPLETE function in Snowflake Cortex to perform sentiment analysis on social media posts. They have a table named 'SOCIAL MEDIA POSTS with a column
'POST TEXT' containing the post content. They want to classify each post as either 'Positive',
'Negative', or 'Neutral'. Which of the following SQL statements is the MOST appropriate for this task?

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

Answer: A

Explanation:
Option E is the most appropriate. It explicitly instructs the COMPLETE function to classify the sentiment and provides the possible classifications (Positive', 'Negative', or 'Neutral'). Combining text with II and using smaller snowflake model to minimize compute cost.

NEW QUESTION # 149
You have a JSON file stored in an internal stage containing customer data with varying schem

A. Create two different views: one for customers with nested address objects and another for customers with string addresses. Then use 'IJNION ALL' on the views.
B. Some customers have address information stored as a nested JSON object, while others have it stored as a simple string. How can you efficiently query all customer records and retrieve the address information, regardless of its format?
C. Load the JSON data into a relational table and use a 'UNION ALL' query to combine records with different schema.
D. Use a stored procedure to iterate through each JSON record, determine the address format, and then extract the address.
E. Use to dynamically determine the column type and then apply appropriate conversion functions.
F. Use the `LATERAL FLATTEN' function to explode the JSON and then use and to handle different formats.

Answer: B

Explanation:
'LATERAL FLATTEN' helps process JSON and then the and functions are used to handle the different formats of the address. This is the most efficient approach. Loading into a relational table is not suited for semi-structured data. Using two views then UNION ALL is a valid strategy, however Flatten will be more efficient. Using a stored procedure would be inefficient.

NEW QUESTION # 150
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 DATABASE SALES DATA WITH DATA RETENTION TIME IN DAYS-I;
B. CREATE DATABASE SALES DATA;
C. CREATE DATABASE SALES DATA COMMENT = 'Sales Data Database';
D. CREATE OR REPLACE DATABASE SALES DATA;
E. CREATE DATABASE SALES DATA WITH OWNER = 'ACCOUNTADMIN';

Answer: B

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 # 151
......

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