Important Snowflake DSA-C02 Exam Questions

Answer: A, B, C, D

Explanation:

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.

Answer: A

Explanation:

Supervised Learning

Overview:

Supervised learning is a type of machine learning that uses labeled data to train machine learning models. In labeled data, the output is already known. The model just needs to map the inputs to the respective outputs.

Algorithms:

Some of the most popularly used supervised learning algorithms are:

* Linear Regression

* Logistic Regression

* Support Vector Machine

* K Nearest Neighbor

* Decision Tree

* Random Forest

* Naive Bayes

Working:

Supervised learning algorithms take labelled inputs and map them to the known outputs, which means you already know the target variable.

Supervised Learning methods need external supervision to train machine learning models. Hence, the name supervised. They need guidance and additional information to return the desired result.

Applications:

Supervised learning algorithms are generally used for solving classification and regression problems.

Few of the top supervised learning applications are weather prediction, sales forecasting, stock price analysis.

Answer: D

Explanation:

If you want to provide a share to many accounts, you might want to use a listing or a data ex-change.

Answer: D

Explanation:

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).

Answer: B

Explanation:

Options for Sharing in Snowflake

You can share data in Snowflake using one of the following options:

* a Listing, in which you offer a share and additional metadata as a data product to one or more ac-counts,

* a Direct Share, in which you directly share specific database objects (a share) to another account in your region,

* a Data Exchange, in which you set up and manage a group of accounts and offer a share to that group.