Exam Title: Snowflake SnowPro Advanced: Data Scientist Certification
Certification Name: SnowPro Certification
Exam Code: DSA-C02
Total Questions: 65
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Being a data scientist seems to be a promising career role but it also demands continuous upskilling and learning. If you have been working in this domain, you must know that to build a promising career in data science, you need good knowledge and the latest skill sets. One way to level up your game in this domain is to get an industry-recognized certification. SnowPro Advanced Data Scientist is one of the prestigious certifications offered by Snowflake in the domain of data science.
Moreover, getting this prestigious certification requires hard work and Dumpsgate Snowflake DSA-C02 helps you get this. This article will give a clear and precise idea of how these SnowPro Advanced Data Scientist dumps are life-savior.
The SnowPro Advanced Data Scientist certification will test advanced knowledge and skills used to apply wide-ranging data science principles, tools, and methodologies using Snowflake.
Objectives
The certification tests your ability in:
The candidate enrolling in this exam should have 2+ years of practical data science experience with Snowflake, working in an enterprise setting. Additionally, the candidate must have:
Intended Audience
The exam is targeted for data scientists and AI/ML Engineers
| Exam Code | DSA-C02 |
| Exam Format | 65 Multiple Select, Multiple Choice Questions |
| Time Limit | 115 minutes |
| Language | English |
| Pass Score | 750 + Scaled Scoring from 0 – 1000 |
| Prerequisites | SnowPro Core Certified |
Below are the domains and their % weightage which constitute the major portion of the exam:
1.0 Data Science Concepts 15-20%
2.0 Data Pipelining 15-20%
3.0 Data Preparation and Feature Engineering 30-35%
4.0 Model Development 15-20%
5.0 Model Deployment 15-20%
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To attain success on the SnowPro Advanced Data Scientist exam, you must have a 750 score on a scale range of 0-1000.
The SnowPro advanced data scientist certification exam costs $375 (per exam attempt). Each registration will require the full 375 USD amount.
Well, describing the difficulty level of any exam is difficult because it varies according to each individual. Generally, it is considered a terribly difficult certification for a person who is not acquainted with Snowflake and doesn’t have good experience in data science. Most of the people who enrolled in the exam referred to this certification exam as the most difficult. However, if you have enough experience, meet the eligibility criteria, work with Snowflake, and study properly, you can achieve triumph in this exam. Moreover, if you spend maximum study time, prepare with a holistic study approach, and study with our trustworthy DSA-C02 dumps, you can swiftly pass the exam. Don’t worry and give your best shot!
The exam consists of 65 questions that are mainly multiple-select, and multiple-choice.
Yes! The SnowPro advanced data scientist needs you to have experience with any of the following programming language
Well, you can re-appear in the exam. You can attempt this exam 4 times in 12 months. However, after three attempts, it is recommended to attend one of the onsite Snowflake training courses.
All SnowPro certifications automatically expire two after you pass the exam. You are entitled to apply for a SnowPro Recertification exam six months before your certification expires.
Several ways will help you to prepare for the SnowPro advanced data scientist exam but you must choose the one that is cost-effective, less time-consuming, and ensures thorough preparation. Snowflake offers online training, a study guide, and various other resources. If you can afford online training, you must give it a try. It surely helps you in effective preparation. However, not everyone can afford to spend so much on preparing for one certification exam. You can opt for free resources from Snowflake as well as our DSA-C02 actual exam questions are a useful way of effective preparation.
Well, yes! Besides meeting the eligibility criteria, you also have to pass the SnowPro core certification as a prerequisite for SnowPro advanced data scientist certification.

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