DSA‑C03 SnowPro Advanced: Data Scientist Certification Training in Hyderabad
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Key Highlights of DSA‑C03 SnowPro Advanced: Data Scientist
- Comprehensive Syllabus
- Real-world Experience
- Guaranteed Success
- Lifetime access to recorded lectures and materials
- High-quality Lectures
- Learn at Your Convenience
- 100 % Job Assistance
- Machine Learning types: Supervised & Unsupervised
- ML lifecycle: Data collection → Evaluation → Deployment
- Key statistical concepts: Hypothesis testing, CLT, confidence intervals
- Data wrangling using Snowpark (joins, missing values, sampling)
- Exploratory Data Analysis (EDA) with SQL & Snowpark
- Feature engineering: Scaling, encoding, normalization
- Visualization with Snowsight & Python libraries
- Building models using Snowpark ML, Python Connector
- Generative AI & LLM with Snowflake Cortex
- Model pipeline creation: Cross-validation, tuning
- Model evaluation: RMSE, AUC, ROC, precision, recall
- Deployment methods: UDFs, external functions, containers
- Model monitoring: Drift detection, retraining
- Lifecycle management: Versioning, logging, performance metrics
What Is Snowflake Data Scientist Advanced Certification
- It is an advanced-level certification by Snowflake for experienced data science professionals.
- Validates expertise in building, training, deploying, and managing ML models using Snowflake.
- Covers key areas like data preparation, feature engineering, model development, and deployment.
- Introduces Snowflake-specific tools like Snowpark, Cortex (GenAI), and Feature Store.
- Recognized globally as proof of advanced Snowflake data science skills.
- It is the latest version (DSA‑C03) launched in March 2025, replacing the earlier DSA‑C02.
- The certification includes 65 multiple-choice and multiple-select questions.
- It evaluates knowledge of supervised, unsupervised, and deep learning methods.
- Focuses on real-time feature engineering and automated data pipelines using Snowpark.
- Tests ability to monitor, retrain, and version models in production environments.
SnowPro Advanced: Data Scientist Certification Importance
- Validates advanced expertise in building and deploying machine learning models using Snowflake.
- Demonstrates hands-on skills in Snowflake-native tools like Snowpark ML and Cortex (GenAI).
- Proves your ability to manage the complete ML lifecycle within a cloud data platform.
- Recognized globally by employers seeking Snowflake-skilled data science professionals.
- Helps differentiate you in a competitive job market with a specialized Snowflake credential.
- Ensures you’re up-to-date with modern AI/ML practices and Snowflake’s latest capabilities.
- Boosts confidence to handle real-world data science challenges in production environments.
- Increases your chances of promotion, salary growth, or transitioning to advanced roles.
- Adds credibility when working with clients, partners, or internal AI teams.
- Strengthens your resume with a high-demand certification in cloud data science.
- Aligns your skills with enterprise data and ML workflows used in Fortune 500 companies.
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DSA‑C03 SnowPro Advanced: Data Scientist Certification Levels
Snowflake Advanced Data Scientist Certification
The Snowflake Advanced Data Scientist Certification (DSA‑C03) is a premier credential designed for experienced data science professionals who build, train, and deploy machine learning models using Snowflake’s powerful cloud data platform. Part of the SnowPro Advanced Certification Series, this certification validates your ability to execute real-world AI/ML workflows, automate ML pipelines, and harness GenAI capabilities within Snowflake.
Overview of the Snowflake Advanced Data Scientist Certification
The DSA‑C03 SnowPro Advanced: Data Scientist Certification tests your skills in designing, implementing, and managing advanced machine learning models using Snowflake-native tools like Snowpark ML, Feature Store, Cortex (GenAI), and the Model Registry. It covers critical domains such as data preparation, feature engineering, model development, deployment, lifecycle management, and evaluation metrics.
Ideal for professionals who already possess foundational Snowflake knowledge, this certification elevates your data science credentials and prepares you for senior-level roles in modern cloud data teams.
Key Features of the Snowflake Advanced Data Scientist Certification
- Certification Name: SnowPro Advanced: Data Scientist
- Exam Code: DSA‑C03
- Certification Type: Advanced / Role-Based
- Exam Mode: Online, Proctored, Computer-Based
- Exam Duration: 115 minutes
- Number of Questions: 65
- Question Format: Multiple Choice and Multi-Select
- Passing Score: 750 out of 1000
- Exam Fee: USD 375
- Prerequisite: SnowPro Core Certification (Recommended, not mandatory)
Skills Validated at the Advanced Level
- Designing and automating ML pipelines using Snowpark & SQL
- Performing advanced data wrangling and feature engineering
- Training models using Snowpark ML, external libraries, or third-party tools
- Leveraging GenAI/LLMs via Snowflake Cortex for modern use cases
- Deploying models using UDFs, Snowflake Container Services, and Model Registry
- Monitoring for data drift, model decay, and triggering retraining workflows
- Using evaluation metrics like ROC/AUC, RMSE, confusion matrix, and log loss
- Collaborating with DevOps and ML teams in a production-grade cloud setup
- Interpreting model behavior through SHAP, PDPs, and feature impact analysis
Who Should Take the Advanced Data Scientist Certification?
- Data Scientists and ML Engineers using Snowflake regularly
- Professionals deploying machine learning models in production
- Analysts building predictive models and automated ML workflows
- Developers working with Cortex, Snowpark ML, or Python UDFs
- Candidates seeking to prove their expertise in cloud-native AI/ML
- Certified individuals aiming for specialized, role-based Snowflake credentials
Path to Advanced Certification
Before taking the DSA‑C03 exam, it is recommended (but not mandatory) to first complete the COF‑C02 SnowPro Core Certification, which builds the foundational knowledge of Snowflake architecture, data loading, security, and performance.
After completing SnowPro Core, you can pursue any of the Advanced Role-Based Certifications, including:
- SnowPro Advanced: Data Scientist (DSA‑C03)
- SnowPro Advanced: Data Engineer
- SnowPro Advanced: Architect
- SnowPro Advanced: Database Administrator
- SnowPro Advanced: Data Analyst
Each certification provides deep specialization in a different domain of Snowflake’s cloud data ecosystem, enabling focused career advancement.
Advance Your Career with Certification Mantra
At CertificationMantra.in, we provide expert-led, hands-on SnowPro Advanced: Data Scientist Certification Training in Hyderabad. Our program includes real-time labs, Snowpark projects, GenAI-based case studies, mock tests, and one-on-one interview prep. Whether you aim to lead ML projects or step into AI-powered data science roles, our training will get you certified and job-ready.
Why Choose us for DSA‑C03 SnowPro Advanced: Data Scientist Certification
Hands on Practice
Hands-on lab exercises with detailed answers.
Best Support
Support provided by our friendly support team
Real-life Case Studies
Realistic and relevant case studies that you can relate to your own projects.
Highly Qualified
Expert team of highly qualified faculty members.
Guidance from Experienced Instructors
Guidance throughout the entire course from highly experienced instructors who are there to help you at every step of the way.
Modes of Training –DSA‑C03 SnowPro Advanced: Data Scientist Certification Training in Hyderabad
Online Training
- Basic to advance level
- Daily recorded videos
- Capstone Project
- Internship Provided
- 100% Placement assistance
- Whatsapp Group Access
Offline Training
- Lifetime Video Access
- Basic to advance level
- Internship till you get placed
- One-One Mentorship
- Real time Industry Projects
- Interview Guidance
Corporate Training
- Basic to advance level
- Flexible Batch Timings
- Live project included
- Daily recorded videos
- Doubt Clearing Sessions
- Whatsapp Group Access
DSA‑C03 SnowPro Advanced: Data Scientist Certification Course Objectives
- Build and automate machine learning pipelines with Snowpark.
- Handle semi-structured and streaming data efficiently in Snowflake.
- Use Snowpark APIs in Python or Scala for scalable data science.
- Optimize performance of data science queries using Snowflake features.
- Apply statistical and machine learning techniques using SQL and Python.
- Implement robust data governance and security for ML workflows.
- Integrate Snowflake with ML tools like MLflow, Jupyter, and Python.
- Deploy and monitor machine learning models within Snowflake.
- Prepare effectively for the DSA‑C03 certification with targeted training.
Career Growth After the DSA‑C03 SnowPro Advanced: Data Scientist Certification
- Qualify for senior data scientist and ML engineer roles in top companies.
- Open doors to roles focused on cloud-based AI and analytics.
- Gain a competitive edge for leadership positions in data science.
- Increase earning potential with advanced Snowflake expertise.
- Boost opportunities in domains like FinTech, Healthcare, and E-commerce.
- Stand out in global job markets with a niche Snowflake certification.
- Transition into specialized roles like Snowpark Developer or AI Architect.
- Improve chances for promotions in data engineering and science teams.
- Build authority as a certified Snowflake data science professional.
- Completion of SnowPro Core Certification (COF-C02) is recommended.
- Solid understanding of Snowflake architecture and SQL programming.
- Experience working with Snowpark for Python or Scala.
- Knowledge of machine learning workflows and data science tools.
- Familiarity with data engineering concepts and pipeline design.
- Proficiency in cloud platforms like AWS, Azure, or GCP (preferred).
- Strong skills in data wrangling, statistics, and feature engineering.
- Experience with version control systems and CI/CD workflows (helpful).
- Basic knowledge of data governance, security, and performance tuning in Snowflake.
- Demonstrates expertise in using Snowpark for scalable data workflows.
- Recognized globally by employers in data-driven industries.
- Helps transition into senior-level roles like Data Science Architect.
- Proves your ability to build and deploy ML models on the Snowflake platform.
- Strengthens your resume with an in-demand, role-specific certification.
- Offers credibility when consulting or leading Snowflake-based projects.
- Aligns with industry trends favoring cloud-native data science solutions.
Who Can attend Snowflake Advanced Data Scientist Certification?
- Machine Learning Engineers using Snowflake for model training and deployment.
- Data Engineers interested in expanding into data science roles.
- AI & ML Professionals seeking Snowflake specialization.
- Data Analysts with strong Python/SQL skills and ML exposure.
- Business Intelligence Developers aiming to integrate ML in Snowflake.
- Professionals already holding the SnowPro Core Certification (COF‑C02).
- Researchers and Academics are working on cloud-based analytics.
- Technical consultants implementing Snowflake-based data science solutions.
- Anyone seeking a career upgrade in cloud data science and AI.
How Can I Pass the Snowflake Advanced Data Scientist Certification Exam?
- Master Snowpark, SQL, and Python integrations on Snowflake.
- Study the official exam guide and documentation from Snowflake.
- Get hands-on experience with ML workflows using Snowflake.
- Learn to handle data preprocessing, feature engineering, and performance tuning.
- Take mock exams and practice questions aligned with the DSA‑C03 syllabus.
- Review case studies and scenario-based questions often asked in the exam.
- Join forums and learning communities to gain peer insights and tips.
- Use Snowflake documentation and YouTube tutorials for deep concepts.
- Stay consistent with your study plan and track weak areas for revision.
How to take Snowflake Advanced Data Scientist Certification Exam?
- Visit Snowflake’s official certification page and select the DSA-C03 exam.
- Choose your preferred date and time for the online proctored exam.
- Log in 15–30 minutes early on the exam day for ID verification and setup.
- Complete the 115-minute online proctored exam with 60 MCQs.
- Receive your results instantly after completing the exam.
- Download your certification and badge from the Snowflake Credential portal upon passing.
Snowflake Advanced Data Scientist Certification Exam Cost?
The DSA-C03 SnowPro Advanced: Data Scientist Certification exam costs $375 per attempt. Candidates in India and select regions may be eligible for a 20% regional discount, reducing the total cost to approximately USD 300. This fee includes one attempt and is non-refundable if the exam is missed or failed.
The DSA‑C03 exam is available in multiple languages, making it convenient for candidates worldwide to showcase their Snowflake skills.
DSA-C03 SnowPro Data Scientist Certification Exam Retake Policy
First, no-show and Cancellation Policy: Any student who cannot reschedule or reschedule an exam according to the guidelines below is considered a no-show and forfeits the registration fee.
Cancellations must be submitted 72 hours before the exam date per Webassessor’s policies.
Second, the Rescheduling Policy: Students can request a rescheduling of an exam using the Webassessor portal.
The request must be submitted at least 72 hours before the exam.
Lastly, Emergency Situation: If you were unable to take the exam at the time you have chosen, don’t hesitate to get in touch with Snowflake at SnowProCertifications@snowflake.com with your subject line as “SnowPro Core Missed Exam – Emergency.” In a case-by-case situation, you may receive a voucher to reschedule.
Snowflake Advanced Data Scientist Certification Exam Cancellation Policy
If you need to cancel or reschedule your SnowPro Core Certification exam, make sure to do so at least 6 business days before your scheduled date to avoid any cancellation fees.
If you make changes within 5 business days of the exam, a small rescheduling fee will be charged.
Failing to cancel or reschedule at least 24 hours in advance will result in forfeiture of the full exam fee.
What Our Students Have to Say
Frequently Asked Questions
It’s an advanced-level certification offered by Snowflake. It validates expertise in machine learning, data science workflows, and Snowflake integration. Ideal for professionals working on predictive analytics. Prove your skills in handling real-world ML scenarios using Snowflake. Learn more and prepare effectively on CertificationMantra.in.
Data Scientists, ML Engineers, and Big Data Analysts. Anyone working with AI/ML workflows on Snowflake. Those seeking recognition in advanced data modeling and analytics. Great for professionals aiming to boost career growth. Visit CertificationMantra.in for detailed eligibility guidance.
Experience with Snowflake and SQL. Knowledge of machine learning workflows is essential. Understanding of Python, modeling, and data pipelines. Prior SnowPro Core certification is recommended but not mandatory. Full prerequisites available on CertificationMantra.in.
Multiple-choice and multiple-select questions. The exam is proctored and delivered online. Duration is approximately 115 minutes. Questions focus on scenario-based problem solving. Find the updated format breakdown on CertificationMantra.in.
The exam typically costs around USD 375. Pricing may vary slightly based on region. Rescheduling or cancellation fees may apply. Check Snowflake’s official site for current rates. Get pricing tips and discount alerts from CertificationMantra.in.
Data preparation and feature engineering. Model development and evaluation. Snowflake ML tools and SQL optimization. Production model deployment. Get full syllabus modules from CertificationMantra.in.
Accordion Register through Snowflake’s official certification portal. Choose a suitable exam slot and complete the payment. Ensure your system meets proctoring requirements. You’ll get confirmation and exam access details. Step-by-step guide available at CertificationMantra.in.
No, it’s valid for 2 years from the issue date. You’ll need to recertify to maintain your credential. Recertification ensures you stay up to date with Snowflake features. Reattempt with the latest course material if needed. Track renewal guidance at CertificationMantra.in.
Advanced machine learning with Snowflake. Building and optimizing data pipelines. Deploying models into production. Using SQL, Python, and Snowpark. Explore skill requirements on CertificationMantra.in.
Yes, Snowflake provides sample questions. Third-party platforms also offer mock tests. CertificationMantra.in provides curated practice materials. Practice under real exam conditions is recommended. Ace your prep with our exam simulator at CertificationMantra.in.
Yes, it is delivered via online proctoring. Stable internet and a webcam are mandatory. A quiet testing environment is required. You’ll be guided through system checks before starting. Find remote exam tips at CertificationMantra.in.
The passing score is typically around 750/1000. This can change based on difficulty calibration. You’ll receive a score report upon completion. Focus on core topics to increase the success rate. Check scoring trends on CertificationMantra.in.
It’s considered an advanced-level certification. Challenging for those without ML experience. Scenario-based and performance-driven questions. Thorough preparation is a must. Prep strategy guides are available on CertificationMantra.in.
Average prep time is 6–8 weeks. Daily 1–2 hours with hands-on practice recommended. Experienced professionals may need less time. Mock exams help measure readiness. Get a full prep plan at CertificationMantra.in.
Python is essential for ML implementation. SQL for querying Snowflake data. Familiarity with JavaScript or Scala (optional). Snowpark knowledge adds an advantage. Learn how to apply these on CertificationMantra.in.
Yes, Snowpark is included in the advanced modules. It’s essential for model deployment and processing logic. Know how to write Snowpark DataFrames in Python. Understand its integration in ML workflows. Detailed Snowpark tutorials on CertificationMantra.in.
It’s not recommended for beginners. You should have real-world data science experience. Start with SnowPro Core Certification first. Then move to the advanced track. CertificationMantra.in provides both beginner and advanced resources.
Industry recognition of Snowflake + ML skills. Better job roles and salary potential. Stands out in job applications and promotions. Gives you credibility in the data science field. Boost your profile with help from CertificationMantra.in.
Yes, but you must wait 14 days before retaking. Retake fee is applicable. There’s no limit on attempts, but the cost adds up. Learn from feedback and revise weak areas. Retake tips are available on CertificationMantra.in.
Yes, Snowflake provides a verifiable digital badge. You can showcase it on LinkedIn and resumes. It includes the exam date and credential validity. Share your achievement with potential employers. Get badge-sharing tips on CertificationMantra.in.
Snowflake, SQL, Python, Snowpark. Tools like Jupyter Notebooks, MLflow, and scikit-learn. Data visualization and feature engineering tools. You’ll also work with UDFs and Snowpipe. Tool breakdown guides are available on CertificationMantra.in.
The exam code is DSA‑C03. It’s part of the SnowPro Advanced certification series. Each advanced certification has its unique code. Use the correct code while booking. Stay updated with codes on CertificationMantra.in.
Absolutely! It adds credibility to your Snowflake ML skills. Many companies now use Snowflake for AI/ML. Certification gives you an edge in competitive job markets. Enhances your technical portfolio. Check job trends post-certification at CertificationMantra.in.
Core is foundational; DSA‑C03 is advanced and specialized. Core focuses on basic Snowflake operations. DSA‑C03 dives deep into machine learning and data science. Ideal after completing Core or having equivalent experience. Find certification comparisons on CertificationMantra.in.
Go to Snowflake’s official exam portal. Create an account and select the DSA‑C03 exam. Choose your preferred date and time. Make payment and receive confirmation. Get scheduling help at CertificationMantra.in.
Yes, but do it at least 6 business days before. Otherwise, a rescheduling fee will apply. Last-minute cancellations may forfeit the fee. Review cancellation policy carefully. Full cancellation guide at CertificationMantra.in.
Yes, it’s a globally accepted Snowflake certification. Recognized by tech firms, cloud providers, and startups. Holds value in both enterprise and freelance careers. Helps you gain trust in client projects. Explore global opportunities via CertificationMantra.in.
You’ll get around 115 minutes to complete it. Time management is crucial due to question complexity. No scheduled breaks during the test. Use the tutorial and review time wisely. Time-saving strategies on CertificationMantra.in.
No, it’s a closed-book proctored exam. No external tools, notes, or websites allowed. Violations may result in disqualification. Only on-screen tools are provided during the test. Test-day guidelines explained at CertificationMantra.in.
Definitely! It validates Snowflake + ML expertise — high in demand.
Employers value certified data scientists.
Positions you as a domain expert.
It’s a future-proof investment in your career.
Start your journey today on CertificationMantra.in.
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