SnowPro Advanced: Architect Practice Exam

SnowPro Advanced: Architect Practice Exam

 

The SnowPro® Advanced: Architect Certification assesses advanced knowledge and competencies essential for implementing comprehensive architectural solutions utilizing Snowflake. This certification evaluates the candidate's ability to:

• Develop an end-to-end data flow, encompassing source to consumption, utilizing Snowflake's Platform.
• Design and implement a data architecture that aligns with business objectives while meeting security and compliance standards.
• Choose appropriate Snowflake and third-party tools to optimize architectural performance.
• Establish and implement a shared data set utilizing the Snowflake Marketplace and Data Exchange.

 

Exam Knowledge Requirement

Candidates for the SnowPro Advanced: Architect Certification should have:

• Over 2 years of practical experience working with Snowflake as an Architect in a production environment.
• During this period, candidates should have acquired hands-on proficiency in SQL and SQL analytics, demonstrated experience in constructing complex ETL/ELT pipelines, implemented security and compliance requirements, and utilized various data modeling techniques.
• Additional coding experience beyond SQL and familiarity with DevOps/DataOps design concepts are advantageous.

 

Who should take the exam?

The exam is for:

• Solution Architects
• Database Architects
• System Architects

 

Exam Details

• Exam Name: SnowPro Advanced: Architect
• Exam Version: ARA-C01
• Total Number of Questions: 65
• Question Types: Multiple Select, Multiple Choice
• Time Limit: 115 minutes
• Language: English
• Passing Score: 750 + Scaled Scoring from 0 - 1000

 

Course Outline 

The Exam covers the given topics  - 

Domain 1.0: Overview of Accounts and Security 25-30%

1.1 Design a Snowflake account and database strategy, based on business requirements.

1.2 Design an architecture that meets data security, privacy, compliance, and governance requirements.

1.3 Outline Snowflake security principles and identify use cases where they should be applied.

 

Domain 2.0: Understand Snowflake Architecture 25-30%

2.1 Outline the benefits and limitations of various data models in a Snowflake environment.

2.2 Design data sharing solutions, based on different use cases.

2.3 Create architecture solutions that support Development Lifecycles as well as workload requirements.

2.4 Given a scenario, outline how objects exist within the Snowflake Object hierarchy and how the hierarchy impacts an architecture.

2.5 Determine the appropriate data recovery solution in Snowflake and how data can be restored.

 

Domain 3.0: Understand Data Engineering 20-25%

3.1 Determine the appropriate data loading or data unloading solution to meet business needs.

3.2 Outline key tools in Snowflake’s ecosystem and how they interact with Snowflake.

3.3 Determine the appropriate data transformation solution to meet business needs.

 

Domain 4.0: Learn about Performance Optimization 20-25%

4.1 Outline performance tools, best practices, and appropriate scenarios where they should be applied.

4.2 Troubleshoot performance issues with existing architectures.