Question 1

A retail company has over 3000 stores all using the same Point of Sale (POS) system. The company wants to

deliver near real-time sales results to category managers. The stores operate in a variety of time zones and

exhibit a dynamic range of transactions each minute, with some stores having higher sales volumes than

others.

Sales results are provided in a uniform fashion using data engineered fields that will be calculated in a

complex data pipeline. Calculations include exceptions, aggregations, and scoring using external functions

interfaced to scoring algorithms. The source data for aggregations has over 100M rows.

Every minute, the POS sends all sales transactions files to a cloud storage location with a naming convention

that includes store numbers and timestamps to identify the set of transactions contained in the files. The files

are typically less than 10MB in size.

How can the near real-time results be provided to the category managers? (Select TWO).

Options :

A : All files should be concatenated before ingestion into Snowflake to avoid micro-ingestion.

B :

A Snowpipe should be created and configured with AUTO_INGEST = true. A stream should be created to process INSERTS into a single target table using the stream metadata to inform the store number and timestamps.

C :

A stream should be created to accumulate the near real-time data and a task should be created that runs at a frequency that matches the real-time analytics needs.

D :

An external scheduler should examine the contents of the cloud storage location and issue SnowSQL commands to process the data at a frequency that matches the real-time analytics needs

E :

The copy into command with a task scheduled to run every second should be used to achieve the near-real time requirement.

Answer: B,C

Question 2

How can the Snowpipe REST API be used to keep a log of data load history?

Options :

A : Call insertReport every 20 minutes, fetching the last 10,000 entries.

B : Call loadHistoryScan every minute for the maximum time range.

C : Call insertReport every 8 minutes for a 10-minute time range.

D : Call loadHistoryScan every 10 minutes for a 15-minute time range.

Answer: D

Question 3

A healthcare company wants to share data with a medical institute. The institute is running a Standard edition of Snowflake; the healthcare company is running a Business Critical edition. How can this data be shared?

Options :

A : The healthcare company will need to change the institute’s Snowflake edition in the accounts panel.

B : By default, sharing is supported from a Business Critical Snowflake edition to a Standard edition.

C : Contact Snowflake and they will execute the share request for the healthcare company.

D : Set the share_restriction parameter on the shared object to false.

Answer: D

Question 4

When activating Tri-Secret Secure in a hierarchical encryption model in a Snowflake account, at what level is the customer-managed key used?

Options :

A : At the root level (HSM)

B : At the account level (AMK)

C : At the table level (TMK)

D : At the micro-partition level

Answer: B

Question 5

A Snowflake Architect is designing a multi-tenant application strategy for an organization in the Snowflake Data Cloud and is considering using an Account Per Tenant strategy. Which requirements will be addressed with this approach? (Choose two.)

Options :

A : There needs to be fewer objects per tenant.

B : Security and Role-Based Access Control (RBAC) policies must be simple to configure.

C : Compute costs must be optimized.

D : Tenant data shape may be unique per tenant.

E : Storage costs must be optimized.

Answer: D,E