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Snowflake SnowPro Advanced: Data Analyst Certification Exam Sample Questions (Q165-Q170):

NEW QUESTION # 165
You have a Snowflake table 'CUSTOMER DATA' containing customer information. You want to enrich this data using two separate data shares from the Snowflake Marketplace. Share A provides demographic information, and Share B provides credit risk scores. Both shares contain views named 'CUSTOMER ENRICHMENT with a common column 'CUSTOMER ID'. Due to compliance requirements, you need to ensure that only customers with a credit risk score above a certain threshold (e.g., 700) are enriched with demographic data'. Which of the following approaches ensures that the customer data is enriched securely, efficiently, and in compliance with the credit risk threshold?

A. Replicate data from both data shares and perform enrichment and credit risk filtering on the replicated data.
B. Create a single view that joins 'CUSTOMER_DATA' with both shared views ('CUSTOMER_ENRICHMENT from Share A and Share B) using a common table expression (CTE) to filter records from Share B to include only customers with a credit risk score above the defined threshold.
C. Create a stored procedure that iterates through the 'CUSTOMER_DATA' table, retrieves demographic and credit risk information for each customer, applies the credit risk threshold, and inserts the enriched data into a new table.
D. Create two separate views, one for each data share, and then join them based on in a final view, filtering for the credit risk threshold in the final view.
E. Create a task that periodically runs a query that joins 'CUSTOMER DATA with both shared views (CUSTOMER ENRICHMENT from Share A and Share B), filtering based on the credit risk threshold. Insert the results into a new enriched table.

Answer: B

Explanation:
Option C is the most secure, efficient, and compliant approach. Using a single view with a CTE allows you to encapsulate the credit risk filtering logic within the view definition, ensuring that only customers meeting the threshold are enriched. This avoids exposing sensitive credit risk information to unauthorized users. Views provide row-level security for the table. Options A requires two steps and is less efficient, Option B is less efficient and harder to maintain than a view, and Options D is not recommended for sharing scenarios. Option E will require an additional task creation. Using single view with CTE will simplify the query to implement it with minimum code.

NEW QUESTION # 166
A Snowflake data analyst needs to create a secure view called "masked customer data' based on an existing table named 'customer data'. The requirement is to mask the 'email' column for all users except those with the "DATA ADMIN' role. Also, only users with the 'ANALYST' role should be able to query any data from the view. The masking policy 'email_mask' has already been created. Which of the following sequence of commands correctly implements this requirement?

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

Answer: C

Explanation:
Option C correctly implements the requirements. First, a 'SECURE VIEW' is created to ensure data security. Then, the 'ALTER VIEW' command correctly applies the masking policy to the column of the view. Finally, 'GRANT SELECT ensures that only the 'ANALYST role can query data from the view. Option B attempts to alter the underlying table directly which isn't the intention, and uses an invalid command 'MODIFY COLUMN'. Option A does not create a secure view. Option D uses incorrect syntax 'MODIFY COLUMN' for altering view. Option E try to alter the masked_customer_data, which is not a TABLE instead it is a View.

NEW QUESTION # 167
You are tasked with identifying potential data sources for a new marketing analytics dashboard. The dashboard needs to provide insights into customer behavior across various touchpoints. Which of the following would be the MOST appropriate data sources to consider?

A. IoT sensor data containing temperature readings.
B. Website clickstream data stored in AWS S3 buckets in Parquet format.
C. Database containing HR employee data.
D. Salesforce data containing customer interactions and sales opportunities.
E. Social media activity data ingested via a third-party API and stored in a relational database.

Answer: B,D,E

Explanation:
Options A, B, and C are the most relevant data sources for a marketing analytics dashboard focused on customer behavior. Website clickstream data (A) provides insights into user interactions on the website. Social media activity data (B) offers insights into customer sentiment and engagement. Salesforce data (C) provides information about customer interactions and sales opportunities. HR employee data (D) and IoT sensor data (E) are less relevant to customer behavior and marketing analytics.

NEW QUESTION # 168
You have a table 'ORDERS that stores customer order information. Due to a faulty ETL process, incorrect discount values were applied to some orders yesterday. You need to correct these discount values while ensuring that you can revert to the original data if necessary. Select all the valid actions to mitigate this situation using Snowflake's Time Travel and Cloning features.

A. Create a temporary table to store the original incorrect discount values before applying the corrections, then updating the 'ORDERS' table.
B. Use Time Travel to query the 'ORDERS' table as it existed BEFORE the faulty ETL process, then use this data to correct the discount values in a separate update statement.
C. Update the discount values directly in the 'ORDERS' table after verifying the incorrect records, relying solely on Snowflake's data retention for recovery.
D. Create a backup table with the structure and all the records by using 'create table orders_backup as select from orders'.
E. Create a clone of the 'ORDERS' table BEFORE applying the corrections, allowing you to revert to the original data by cloning the backup back if needed.

Answer: B,E

Explanation:
Options A and E are the most reliable and efficient. Cloning the table (A) before the correction provides a complete, point-in-time backup that can be easily restored. Using Time Travel (E) allows you to query the historical data to identify the correct values and apply targeted updates. B is risky without a backup, as unforeseen issues might prevent successful recovery within the retention period. While C is technically feasible, it is less robust and adds complexity compared to a full clone or Time Travel. D is same as C but with more data, but less robust and adds complexity compared to a full clone or Time Travel. Creating the temp table doesn't give you the benefit of time travel, so doesn't make sense.

NEW QUESTION # 169
What actions can be taken when responding to processing failures in data processing solutions?
(Select all that apply)

A. Restart the entire data processing flow
B. Log error details for analysis
C. Identify the root cause of failure
D. Resume processing from the point of failure

Answer: B,C,D

Explanation:
Responding to processing failures involves logging error details, identifying the root cause, and resuming processing from the failure point.

NEW QUESTION # 170
......

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