DSA-C02 SnowPro Advanced: Data Scientist Certification Exam Dumps

dumps2023-09-27T09:30:27+08:00

DSA-C02 SnowPro Advanced: Data Scientist Certification exam information is available for you to understand. There are 65 Multiple Select and Multiple Choice questions in the real DSA-C02 exam, and you have 115 minutes to answer all the questions. The required passing score for the DSA-C02 exam is 750. The registration fee is $375 USD. The available language is English. We have cracked the latest SnowPro Advanced DSA-C02 exam dumps, which can guarantee you success. Free Data Scientist Certification DSA-C02 exam dumps are below.

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1. Which type of Machine learning Data Scientist generally used for solving classification and regression problems?

Supervised

Unsupervised

Reinforcement Learning

Instructor Learning

Regression Learning

2. Which of the learning methodology applies conditional probability of all the variables with respective the dependent variable?

Reinforcement learning

Unsupervised learning

Artificial learning

Supervised learning

3. In a simple linear regression model (One independent variable), If we change the input variable by 1 unit.

How much output variable will change?

by 1

no change

by intercept

by its slope

4. There are a couple of different types of classification tasks in machine learning, Choose the Correct Classification which best categorized the below Application Tasks in Machine learning?

・ To detect whether email is spam or not

・ To determine whether or not a patient has a certain disease in medicine.

・ To determine whether or not quality specifications were met when it comes to QA (Quality Assurance).

Multi-Label Classification

Multi-Class Classification

Binary Classification

Logistic Regression

5. Which of the following method is used for multiclass classification?

one vs rest

loocv

all vs one

one vs another

6. Which ones are the key actions in the data collection phase of Machine learning included?

Label

Ingest and Aggregate

Probability

Measure

7. Which ones are the type of visualization used for Data exploration in Data Science?

Heat Maps

Newton AI

Feature Distribution by Class

2D-Density Plots

Sand Visualization

8. Which one is not the feature engineering techniques used in ML data science world?

Imputation

Binning

One hot encoding

Statistical

9. Skewness of Normal distribution is ___________

Negative

Positive

Undefined

10. What is the formula for measuring skewness in a dataset?

MEAN - MEDIAN

MODE - MEDIAN

(3(MEAN - MEDIAN))/ STANDARD DEVIATION

(MEAN - MODE)/ STANDARD DEVIATION

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

Publish listings for free-to-use datasets to generate interest and new opportunities among the Snowflake customer base.

Publish listings for datasets that can be customized for the consumer.

Share live datasets securely and in real-time without creating copies of the data or im-posing data integration tasks on the consumer.

Eliminate the costs of building and maintaining APIs and data pipelines to deliver data to customers.

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

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 in-sights.

Use the business intelligence (BI)/ML/Deep learning tools of her choice.

13. Which one is the incorrect option to share data in Snowflake?

a Listing, in which you offer a share and additional metadata as a data product to one or more accounts.

a Direct Marketplace, in which you directly share specific database objects (a share) to another account in your region using Snowflake Marketplace.

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.

14. Data providers add Snowflake objects (databases, schemas, tables, secure views, etc.) to a share using.

Which of the following options?

Grant privileges on objects to a share via Account role.

Grant privileges on objects directly to a share.

Grant privileges on objects to a share via a database role.

Grant privileges on objects to a share via a third-party role.

15. Secure Data Sharing do not let you share which of the following selected objects in a database in your account with other Snowflake accounts?

Sequences

Tables

External tables

Secure UDFs

16. Which one is incorrect understanding about Providers of Direct share?

A data provider is any Snowflake account that creates shares and makes them available to other Snowflake accounts to consume.

As a data provider, you share a database with one or more Snowflake accounts.

You can create as many shares as you want, and add as many accounts to a share as you want.

If you want to provide a share to many accounts, you can do the same via Direct Share.

17. As Data Scientist looking out to use Reader account, Which ones are the correct considerations about Reader Accounts for Third-Party Access?

Reader accounts (formerly known as “read-only accounts”) provide a quick, easy, and cost-effective way to share data without requiring the consumer to become a Snowflake customer.

Each reader account belongs to the provider account that created it.

Users in a reader account can query data that has been shared with the reader account, but cannot perform any of the DML tasks that are allowed in a full account, such as data loading, insert, update, and similar data manipulation operations.

Data sharing is only possible between Snowflake accounts.

18. SHOW GRANTS OF SHARE product_s;

GRANT USAGE ON DATABASE product_db TO SHARE product_s;

CREATE DIRECT SHARE product_s;

GRANT SELECT ON TABLE sales_db. product_agg.Item_agg TO SHARE product_s;

ALTER SHARE product_s ADD ACCOUNTS=xy12345, yz23456;

19. Which object records data manipulation language (DML) changes made to tables, including inserts, updates, and deletes, as well as metadata about each change, so that actions can be taken using the changed data of Data Science Pipelines?

Task

Dynamic tables

Stream

DSA-C02 SnowPro Advanced: Data Scientist Certification Exam Dumps

DSA-C02 SnowPro Advanced: Data Scientist Certification Exam Dumps

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