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Simulate the real exam

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Only need to practice for 20 to 30 hours

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Snowflake Certified SnowPro Associate - Platform Certification Sample Questions:

1. You need to implement a data governance strategy that ensures data stewards can only access specific columns within a table to perform data quality checks. The table is `RAW DATA.PUBLIC.CUSTOMER DETAILS' and you want to allow the data stewards to only see the
'CUSTOMER ID', `EMAIL', and 'PHONE NUMBER columns. Which is the most efficient and secure method to grant access?

A) Create a secure view that only includes the `EMAIL ` , and 'PHONE_NUMBER columns. Grant SELECT privilege on the secure view to a custom role used by the data stewards.
B) Grant SELECT privilege on the table to the 'PUBLIC' role. Revoke SELECT privilege on the columns they should not see.
C) Create a standard view that only includes the 'CUSTOMER ID', 'EMAIL', and 'PHONE NUMBER columns.Grant SELECT privilege on the view to a custom role used by the data stewards.
D) Grant SELECT privilege on the table to a custom role used by the data stewards. Use masking policies to hide the columns they should not see.
E) Create a role hierarchy where a data steward role inherits from a higher-level role that has SELECT access on the entire table.

2. You are working with a Snowflake environment where cost optimization is critical. You need to limit the amount of data scanned by a specific query executed by a user with the 'ANALYST role.
Which of the following options represent valid methods to achieve this, considering both query- level and account- level settings?

A) Set the parameter for the 'ANALYST role to a low value to reduce resource consumption and, consequently, data scanned.
B) Set the `STATEMENT _ parameter for the 'ANALYST role to limit the execution time of queries, indirectly reducing the potential data scanned. Additionally, use the `LIMIT clause in the query to restrict the number of rows returned.
C) Use resource monitors to set credit quotas at the warehouse level. Enforce the usage of the 'LIMIT clause in SQL queries and set 'STATEMENT TIMEOUT IN SECONDS' for the 'ANALYST role.
D) Set the parameter for the database to a low value. Also, limit the number of columns selected within a given query.
E) Implement row-level security policies and data masking to reduce the amount of data visible to the user. Force the 'LIMIT clause, and define a session-level parameter ` to limit the total bytes scanned.

3. You are designing a data pipeline in Snowflake to process streaming data from Apache Kafka.
You need to choose the appropriate virtual warehouse size. The data arrives at a rate of 100,000 messages per second, and each message is approximately IKB. The processing involves complex transformations and aggregations. Which of the following considerations are MOST critical when determining the optimal warehouse size?

A) Only the total volume of data (100MB/second) needs to be considered. Choose the smallest warehouse that can handle this volume.
B) The number of concurrent users accessing the processed data is the primary factor. Choose a warehouse size that scales linearly with the number of users.
C) Always choose the largest available warehouse (X-Large or larger) to ensure optimal performance, regardless of the actual processing requirements.
D) The complexity of the transformations and aggregations performed on the data significantly impacts the required compute resources. Choose a larger warehouse initially and monitor performance.
E) The frequency of data arrival (100,000 messages/second) requires a warehouse with sufficient concurrency to avoid message backlog. Choose a warehouse size based on concurrency needs.

4. What does a "green" cell execution status indicate in Snowflake Notebooks?

A) Execution was canceled
B) Execution succeeded
C) Execution failed
D) Execution is pending

5. Which of the following statements about External Tables in Snowflake are true?

A) External tables provide read-only access to data stored in external cloud storage locations.
B) External tables can be directly updated using standard SQL DML statements (INSERT, UPDATE, DELETE).
C) Changes to the underlying files in the external stage are automatically reflected in the external table without any manual refresh.
D) External tables store data within Snowflake's internal storage.
E) External tables require a virtual warehouse to be online for data access.

Solutions: