Cyber Monday 2024! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions

Snowflake DSA-C02 Exam Questions

Exam Name: SnowPro Advanced: Data Scientist Certification Exam
Exam Code: DSA-C02
Related Certification(s):
  • Snowflake SnowPro Certifications
  • Snowflake SnowPro Advanced Certifications
Certification Provider: Snowflake
Number of DSA-C02 practice questions in our database: 65 (updated: Nov. 25, 2024)
Expected DSA-C02 Exam Topics, as suggested by Snowflake :
  • Topic 1: Data Science Concepts: This portion of the test includes basic machine learning principles, problem types, the machine learning lifecycle, and statistical ideas that are crucial for data science workloads for analysts and data scientists. It guarantees that applicants comprehend data science theory inside the framework of Snowflake's platform.
  • Topic 2: Data Pipelining: This domain focuses on creating efficient data science pipelines and enhancing data through data-sharing sources for data engineers and ETL specialists. It evaluates the capacity to establish reliable data flows throughout the ecosystem of Snowflake.
  • Topic 3: Data Preparation and Feature Engineering: This section of the test includes data cleansing, exploratory data analysis, feature engineering, and data visualization using Snowflake for data analysts and machine learning developers. It evaluates proficiency in data preparation for model building and stakeholder presentation.
  • Topic 4: Model Deployment: For MLOps engineers and data scientists, this domain covers the process of moving models into production, assessing model effectiveness, retraining models, and understanding model lifecycle management tools. It ensures candidates can operationalize machine learning models in a Snowflake-based production environment.
Disscuss Snowflake DSA-C02 Topics, Questions or Ask Anything Related

Curt

1 days ago
Natural Language Processing questions were tricky. Focus on text preprocessing steps and basic sentiment analysis techniques.
upvoted 0 times
...

Boris

2 days ago
Passed the SnowPro Advanced: Data Scientist exam! Pass4Success's materials were invaluable.
upvoted 0 times
...

Katie

7 days ago
I passed the Snowflake SnowPro Advanced: Data Scientist Certification Exam, and the Pass4Success practice questions were instrumental in my success. A question that puzzled me was related to Data Preparation and Feature Engineering. It asked about handling missing data and which imputation method is best for categorical variables. I had to guess between mode imputation and using a placeholder.
upvoted 0 times
...

Clement

17 days ago
The exam included questions on clustering algorithms. Know the differences between K-means, DBSCAN, and hierarchical clustering. Thanks to Pass4Success for covering these topics!
upvoted 0 times
...

Dick

22 days ago
Excited to share that I passed the Snowflake SnowPro Advanced: Data Scientist Certification Exam with the help of Pass4Success practice questions. One question that caught me off guard was about Model Development. It asked about the different types of cross-validation techniques and when to use each. I wasn't entirely sure about the k-fold vs. stratified k-fold.
upvoted 0 times
...

Meghann

1 months ago
Tough exam, but Pass4Success's questions were key to my success. Grateful for the quick prep!
upvoted 0 times
...

Renea

1 months ago
Snowflake's support for Python UDFs came up multiple times. Practice writing and optimizing UDFs for data preprocessing tasks.
upvoted 0 times
...

Ariel

1 months ago
I am thrilled to announce that I passed the Snowflake SnowPro Advanced: Data Scientist Certification Exam. The Pass4Success practice questions were a great help. There was a question on Data Pipelining that asked about the ETL process and the best tools to use for each stage. I was a bit confused about the Extract stage tools but still managed to get through.
upvoted 0 times
...

Carlee

2 months ago
Time series forecasting was a key topic. Study ARIMA models and seasonality decomposition. The exam tests your ability to interpret results, not just implement models.
upvoted 0 times
...

Jackie

2 months ago
Happy to share that I passed the Snowflake SnowPro Advanced: Data Scientist Certification Exam. Thanks to Pass4Success practice questions, I felt well-prepared. One challenging question was related to Data Science Concepts, specifically about the difference between supervised and unsupervised learning. It asked for an example of each, and I had to think hard about the best examples to provide.
upvoted 0 times
...

Johna

2 months ago
Nailed the Snowflake certification! Pass4Success made prep a breeze with their relevant materials.
upvoted 0 times
...

Scarlet

2 months ago
Encountered several questions on feature engineering techniques. Brush up on encoding methods and scaling algorithms. Pass4Success practice tests really helped me prepare!
upvoted 0 times
...

Gladis

2 months ago
Just cleared the Snowflake SnowPro Advanced: Data Scientist Certification Exam! The Pass4Success practice questions were a lifesaver. There was a tricky question on Model Deployment that asked about the steps to deploy a model using Snowflake's Snowpark. I wasn't entirely sure about the sequence of steps, but I managed to pass the exam.
upvoted 0 times
...

Olene

3 months ago
Just passed the Snowflake SnowPro Advanced: Data Scientist exam! The questions on statistical analysis were challenging. Make sure you understand hypothesis testing and p-values thoroughly.
upvoted 0 times
...

Leslie

3 months ago
I recently passed the Snowflake SnowPro Advanced: Data Scientist Certification Exam, and I must say, the Pass4Success practice questions were incredibly helpful. One question that stumped me was about the best practices for feature scaling in Data Preparation and Feature Engineering. It asked which scaling method is most suitable for a dataset with outliers, and I was unsure whether to choose Min-Max Scaling or Robust Scaler.
upvoted 0 times
...

Beatriz

3 months ago
Just passed the Snowflake SnowPro Advanced: Data Scientist exam! Thanks Pass4Success for the spot-on practice questions.
upvoted 0 times
...

Hortencia

5 months ago
Whew, passed the Snowflake exam! Pass4Success's materials were crucial for my quick preparation. Thanks!
upvoted 0 times
...

Junita

6 months ago
SnowPro Advanced: Data Scientist certified! Pass4Success, your exam prep was invaluable. Thank you!
upvoted 0 times
...

Talia

6 months ago
Success! SnowPro Advanced: Data Scientist exam conquered. Pass4Success, your questions were key. Appreciate it!
upvoted 0 times
...

Abraham

6 months ago
Passed the SnowPro Advanced: Data Scientist exam! Pass4Success's questions were spot-on. Thanks for the quick prep!
upvoted 0 times
...

Aron

7 months ago
Time series analysis was another important area. Questions may involve forecasting techniques and handling seasonal data. Brush up on concepts like ARIMA models and how to implement them in Snowflake. Pass4Success's exam materials were spot-on and significantly contributed to my success in passing the certification.
upvoted 0 times
...

Glenn

7 months ago
Challenging exam, but I made it! Grateful for Pass4Success's relevant practice questions. Time-saver!
upvoted 0 times
...

Free Snowflake DSA-C02 Exam Actual Questions

Note: Premium Questions for DSA-C02 were last updated On Nov. 25, 2024 (see below)

Question #1

Data Scientist used streams in ELT (extract, load, transform) processes where new data inserted in-to a staging table is tracked by a stream. A set of SQL statements transform and insert the stream contents into a set of production tables. Raw data is coming in the JSON format, but for analysis he needs to transform it into relational columns in the production tables. which of the following Data transformation SQL function he can used to achieve the same?

Reveal Solution Hide Solution
Correct Answer: B

To know about lateral flatten SQL Function, please refer:

https://docs.snowflake.com/en/sql-reference/constructs/join-lateral#example-of-using-lateral-with-flatten


Question #2

Mark the correct steps for saving the contents of a DataFrame to a Snowflake table as part of Moving Data from Spark to Snowflake?

Reveal Solution Hide Solution
Correct Answer: C

Moving Data from Spark to Snowflake

The steps for saving the contents of a DataFrame to a Snowflake table are similar to writing from Snowflake to Spark:

1. Use the write() method of the DataFrame to construct a DataFrameWriter.

2. Specify SNOWFLAKE_SOURCE_NAME using the format() method.

3. Specify the connector options using either the option() or options() method.

4. Use the dbtable option to specify the table to which data is written.

5. Use the mode() method to specify the save mode for the content.

Examples

1. df.write

2. .format(SNOWFLAKE_SOURCE_NAME)

3. .options(sfOptions)

4. .option('dbtable', 't2')

5. .mode(SaveMode.Overwrite)

6. .save()


Question #3

Consider a data frame df with columns ['A', 'B', 'C', 'D'] and rows ['r1', 'r2', 'r3']. What does the ex-pression df[lambda x : x.index.str.endswith('3')] do?

Reveal Solution Hide Solution
Correct Answer: D

It will Filters the row labelled r3.


Question #4

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

Reveal Solution Hide Solution
Correct Answer: D

Question #5

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

Reveal Solution Hide Solution
Correct 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.



Unlock Premium DSA-C02 Exam Questions with Advanced Practice Test Features:
  • Select Question Types you want
  • Set your Desired Pass Percentage
  • Allocate Time (Hours : Minutes)
  • Create Multiple Practice tests with Limited Questions
  • Customer Support
Get Full Access Now

Save Cancel