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.Resume processing from the point of failure
• D.Identify the root cause of failure

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A marketing company is analyzing customer purchase data stored in Snowflake to understand which customer demographics are most likely to purchase a newly launched product. The 'CUSTOMERS table has columns: 'customer_id', 'age' , 'gender' , 'location' , and 'household income'. The 'PURCHASES' table has columns: 'customer_id', 'purchase_date', and 'product id'. Which SQL query would most effectively identify the top three age groups with the highest purchase rate for the new product (product_id = 'NEW PRODUCT')?

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

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When designing a data collection system, what factors should be considered when assessing how often data needs to be collected? (Select all that apply)

• A.Volume of data
• B.Business requirements
• C.Data collection tool limitations
• D.Data source availability

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Your company is using Snowflake to store customer transaction data'. You want to enrich this data with demographic information from a Snowflake Marketplace data provider. The provider offers a secure data share with a view called 'CUSTOMER DEMOGRAPHICS. You need to join the customer transaction data in your 'TRANSACTIONS' table with the demographic data from the 'CUSTOMER DEMOGRAPHICS' view. Which of the following SQL queries is the MOST efficient and secure way to achieve this, assuming you have already created a database from the share?

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

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An organization needs to provide daily summaries of key metrics to its executive team via email. They currently have a complex SQL query that generates the report, but the query takes several minutes to run. The executive team needs the data before 8 AM daily. The data warehouse is also used for other reporting and analytics tasks throughout the day. Given these constraints, what is the MOST efficient and reliable approach to operationalize this report?

• A.Schedule a Snowflake task to execute the complex SQL query directly and email the results using Snowflake's email integration. Ensure the task runs on a large warehouse.
• B.Create a materialized view based on the complex SQL query. Schedule a task to refresh the materialized view nightly before 8 AM. Create a separate, simpler query against the materialized view to generate the report and email it.
• C.Use a third-party ETL tool to extract the data, transform it, and generate the report. Schedule the ETL job to run nightly and email the report.
• D.Create a Snowpipe to continuously ingest data into a separate table. Write a simplified SQL query on the target table to generate the report. Schedule a task to execute the query and email the results.
• E.Use Snowflake's Data Marketplace to find a pre-built reporting solution that matches their requirements.

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