Snowflake DSA-C02 SnowPro Advanced: Data Scientist Certification Exam Practice Test

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Total 65 questions
Question 1

Mark the incorrect statement regarding usage of Snowflake Stream & Tasks?



Answer : D

All are correct except a standard-only stream tracks row inserts only.

A standard (i.e. delta) stream tracks all DML changes to the source object, including inserts, up-dates, and deletes (including table truncates).


Question 2

Which ones are the correct rules while using a data science model created via External function in Snowflake?



Answer : A, B, C, D

From the perspective of a user running a SQL statement, an external function behaves like any other UDF . External functions follow these rules:

External functions return a value.

External functions can accept parameters.

An external function can appear in any clause of a SQL statement in which other types of UDF can appear. For example:

1. select my_external_function_2(column_1, column_2)

2. from table_1;

1. select col1

2. from table_1

3. where my_external_function_3(col2) < 0;

1. create view view1 (col1) as

2. select my_external_function_5(col1)

3. from table9;

An external function can be part of a more complex expression:

1. select upper(zipcode_to_city_external_function(zipcode))

2. from address_table;

The returned value can be a compound value, such as a VARIANT that contains JSON.

External functions can be overloaded; two different functions can have the same name but different signatures (different numbers or data types of input parameters).


Question 3

Which of the following is a useful tool for gaining insights into the relationship between features and predictions?



Answer : C

Partial dependence plots (PDP) is a useful tool for gaining insights into the relationship between features and predictions. It helps us understand how different values of a particular feature impact model's predictions.


Question 4

How do you handle missing or corrupted data in a dataset?



Answer : D


Question 5

Which of the Following is not type of Windows function in Snowflake?



Answer : C, D

Window Functions

A window function operates on a group (''window'') of related rows.

Each time a window function is called, it is passed a row (the current row in the window) and the window of rows that contain the current row. The window function returns one output row for each input row. The output depends on the individual row passed to the function and the values of the other rows in the window passed to the function.

Some window functions are order-sensitive. There are two main types of order-sensitive window functions:

Rank-related functions.

Window frame functions.

Rank-related functions list information based on the ''rank'' of a row. For example, if you rank stores in descending order by profit per year, the store with the most profit will be ranked 1; the second-most profitable store will be ranked 2, etc.

Window frame functions allow you to perform rolling operations, such as calculating a running total or a moving average, on a subset of the rows in the window.


Question 6

What Can Snowflake Data Scientist do in the Snowflake Marketplace as Consumer?



Answer : A, B, C, D

As a consumer, you can do the following:

* Discover and test third-party data sources.

* Receive frictionless access to raw data products from vendors.

* Combine new datasets with your existing data in Snowflake to derive new business insights.

* Have datasets available instantly and updated continually for users.

* Eliminate the costs of building and maintaining various APIs and data pipelines to load and up-date data.

* Use the business intelligence (BI) tools of your choice.


Question 7

What Can Snowflake Data Scientist do in the Snowflake Marketplace as Provider?



Answer : A, B, C, D

All are correct!

About the Snowflake Marketplace

You can use the Snowflake Marketplace to discover and access third-party data and services, as well as market your own data products across the Snowflake Data Cloud.

As a data provider, you can use listings on the Snowflake Marketplace to share curated data offer-ings with many consumers simultaneously, rather than maintain sharing relationships with each indi-vidual consumer. With Paid Listings, you can also charge for your data products.

As a consumer, you might use the data provided on the Snowflake Marketplace to explore and ac-cess the following:

Historical data for research, forecasting, and machine learning.

Up-to-date streaming data, such as current weather and traffic conditions.

Specialized identity data for understanding subscribers and audience targets.

New insights from unexpected sources of data.

The Snowflake Marketplace is available globally to all non-VPS Snowflake accounts hosted on Amazon Web Services, Google Cloud Platform, and Microsoft Azure, with the exception of Mi-crosoft Azure Government. Support for Microsoft Azure Government is planned.


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Total 65 questions