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Snowflake SnowPro Advanced: Architect Recertification Sample Questions:
1. An Architect has a design where files arrive every 10 minutes and are loaded into a primary database table using Snowpipe. A secondary database is refreshed every hour with the latest data from the primary database.
Based on this scenario, what Time Travel query options are available on the secondary database?
A) Using Time Travel, secondary database users can query every iterative version within each hour (the individual Snowpipe loads) and outside the retention window.
B) A query using Time Travel in the secondary database is available for every hourly table version within the retention window.
C) A query using Time Travel in the secondary database is available for every hourly table version within and outside the retention window.
D) Using Time Travel, secondary database users can query every iterative version within each hour (the individual Snowpipe loads) in the retention window.
2. An Architect with the ORGADMIN role wants to change a Snowflake account from an Enterprise edition to a Business Critical edition.
How should this be accomplished?
A) Run an ALTER ACCOUNT command and create a tag of EDITION and set the tag to Business Critical.
B) Use the account's ACCOUNTADMIN role to change the edition.
C) Failover to a new account in the same region and specify the new account's edition upon creation.
D) Contact Snowflake Support and request that the account's edition be changed.
3. Company A would like to share data in Snowflake with Company B. Company B is not on the same cloud platform as Company A.
What is required to allow data sharing between these two companies?
A) Setup data replication to the region and cloud platform where the consumer resides.
B) Create a pipeline to write shared data to a cloud storage location in the target cloud provider.
C) Company A and Company B must agree to use a single cloud platform: Data sharing is only possible if the companies share the same cloud provider.
D) Ensure that all views are persisted, as views cannot be shared across cloud platforms.
4. An Architect is designing a solution that will be used to process changed records in an orders table.
Newly-inserted orders must be loaded into the f_orders fact table, which will aggregate all the orders by multiple dimensions (time, region, channel, etc.). Existing orders can be updated by the sales department within 30 days after the order creation. In case of an order update, the solution must perform two actions:
1. Update the order in the f_0RDERS fact table.
2. Load the changed order data into the special table ORDER _REPAIRS.
This table is used by the Accounting department once a month. If the order has been changed, the Accounting team needs to know the latest details and perform the necessary actions based on the data in the order_repairs table.
What data processing logic design will be the MOST performant?
A) Useone stream and one task.
B) Usetwo streams and one task.
C) Usetwo streams and two tasks.
D) Useone stream and two tasks.
5. A Developer is having a performance issue with a Snowflake query. The query receives up to 10 different values for one parameter and then performs an aggregation over the majority of a fact table. It then joins against a smaller dimension table. This parameter value is selected by the different query users when they execute it during business hours. Both the fact and dimension tables are loaded with new data in an overnight import process.
On a Small or Medium-sized virtual warehouse, the query performs slowly. Performance is acceptable on a size Large or bigger warehouse. However, there is no budget to increase costs. The Developer needs a recommendation that does not increase compute costs to run this query.
What should the Architect recommend?
A) Create a task that will run the 10 different variations of the query corresponding to the 10 different parameters before the users come in to work. The query results will then be cached and ready to respond quickly when the users re-issue the query.
B) Enable the search optimization service on the table. When the users execute the query, the search optimization service will automatically adjust the query execution plan based on the frequently-used parameters.
C) Create a task that will run the 10 different variations of the query corresponding to the 10 different parameters before the users come in to work. The task will be scheduled to align with the users' working hours in order to allow the warehouse cache to be used.
D) Create a dedicated size Large warehouse for this particular set of queries. Create a new role that has USAGE permission on this warehouse and has the appropriate read permissions over the fact and dimension tables. Have users switch to this role and use this warehouse when they want to access this data.
Solutions:
Question # 1 Answer: B | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: D | Question # 5 Answer: B |
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