SnowPro Advanced Architect Practice Exam
SnowPro Advanced: Architect Practice Exam
About SnowPro Advanced: Architect Exam
The SnowPro Advanced: Architect certification has been developed to validate advanced knowledge and skills in using Snowflake to architect comprehensive solutions.
Knowledge Evaluated
The SnowPro Advanced: Architect certification assesses the ability of the candidate to -
- Designing an end-to-end data flow, encompassing the entire process from data source to consumption, using Snowflake's Platform.
- Developing and implementing a data architecture that meets business objectives, security requirements, and compliance standards.
- Selecting the most suitable Snowflake and third-party tools to optimize the performance of the architecture.
- Creating and deploying a shared data set leveraging Snowflake Marketplace and Data Exchange.
Skills Required
Candidates pursuing the SnowPro Advanced: Architect certification should possess:
- A minimum of 2 years of hands-on experience working with Snowflake as an Architect in a production environment.
- Proficiency in SQL and SQL analytics, along with practical experience in building complex ETL/ELT pipelines.
- Experience in implementing security measures and ensuring compliance with relevant standards.
- Familiarity with various data modeling techniques.
- Additional coding experience beyond SQL and expertise in DevOps/DataOps design are advantageous.
Who should take the SnowPro Advanced: Architect Exam?
The SnowPro Advanced: Architect exam is suitable for -
- Solution Architects
- Database Architects
- System Architects
Exam Format
- Exam Code: ARA-C01
- Total Questions: 65 Questions
- Type of Question : Multiple Select, Multiple Choice, True/False
- Time Duration: 115 minutes
- Exam Language: English
- Passing Score: 750 On a Scale of (0 - 1000)
- Exam Prerequisites: SnowPro Core Certified
- Delivery Options: Online Proctoring and Onsite Testing Centers
Course Outline
The SnowPro Advanced: Architect Exam covers the following topics -
Domain 1 - Overview of Accounts and Security
1.1 Understanding and Designing a Snowflake account and database strategy based on business requirements.
1.2 Understanding and Designing an architecture that fulfills data security, privacy, compliance, and governance requirements.
1.3 Understanding and Describing Snowflake security principles and identifying their application in various use cases.
Domain 2 - Overview of Snowflake Architecture
2.1 Understanding and Outlining the advantages and limitations of different data models in a Snowflake environment.
2.2 Understanding and Designing data sharing solutions for different use cases.
2.3 Understanding and Creating architecture solutions that support Development Lifecycles and workload requirements.
2.4 Understanding and Explaining the Snowflake Object hierarchy and its impact on architecture.
2.5 Understanding and Determining appropriate data recovery solutions in Snowflake and understanding data restoration.
Domain 3 - Overview of Data Engineering
3.1 Understanding and Selecting the suitable data loading or unloading solution to meet business needs.
3.2 Understanding and Outlining key tools in Snowflake's ecosystem and their interactions with Snowflake.
3.3 Understanding and Determining the appropriate data transformation solution to meet business requirements.
Domain 4 - Performance Optimization
4.1 Understanding and Describing performance tools, best practices, and their application in relevant scenarios.
4.2 Understanding and Troubleshooting performance issues in existing architectures.
