Practice Tests: Snowflake SnowPro Advanced Architect Exam

Snowflake SnowPro Advanced Architect Certification Exam Prep: Scenario-Based Practice Tests with Detailed Explanations
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Practice Tests: Snowflake SnowPro Advanced Architect Exam
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Apr 2025
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Why take this course?

based on the exam topics for the Snowflake Data Engineer - Accounts and Security (ARA-C01) certification, you can expect to be tested on a range of knowledge areas. Here's a breakdown of what you might focus on for each domain:

Domain 1.0: Accounts and Security

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

  • Understand the different types of accounts (e.g., Essentials, Snowpipe, Business Critical) and select appropriate ones based on use cases.
  • Define databases within the accounts considering performance, cost, and security needs.
  • Set up role-based access control (RBAC) and understand the granular privileges that can be assigned to roles.

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

  • Implement masking and replication features to protect sensitive data.
  • Ensure compliance with regulations like GDPR, HIPAA, or CCPA using Snowflake's features like data masking and secure data sharing.
  • Understand the auditing and monitoring capabilities of Snowflake to maintain governance standards.

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

  • Explain the shared data objective (SDA) feature for secure data sharing.
  • Discuss key management interoperability protocol (KMIP) support and its role in managing encryption keys.
  • Understand the importance of end-to-end data protection across storage and compute layers.

Domain 2.0: Snowflake Architecture

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

  • Compare different data models like wide tables, narrow tables, and traditional tables to understand their use cases.
  • Understand how data model choices can impact performance and cost considerations.

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

  • Define secure data sharing use cases and set up data sharing between Snowflake accounts.
  • Understand the steps required to share a dataset with another account securely.

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

  • Implement best practices for developing, testing, deploying, and monitoring Snowflake solutions.
  • Explain how to use Snowflake's features like cloning, DevOps tools, and workload management to manage different workloads effectively.

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

  • Understand the object hierarchy in Snowflake, including databases, schemas, tables, views, and stored procedures.
  • Explain how this hierarchy affects data access patterns, security, and governance.

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

  • Understand the options for data recovery in Snowflake, including time travel and backup features.

Domain 3.0: Data Engineering

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

  • Identify when to use Snowpipe, COPY INTO, or other data loading methods based on data volume and frequency.

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

  • Discuss third-party ETL/ELT tools, Snowflake's own Data Platform SDK, and their roles in integrating with Snowflake.

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

  • Understand how to use Snowflake’s SQL capabilities, user-defined functions (UDFs), or external tools for data transformation.

Domain 4.0: Performance Optimization

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

  • Explain how to use Snowflake's performance monitoring tools like EXPLAIN PLAN, QUERY PROFILER, and query performance insights.

4.2 Troubleshoot performance issues with existing architectures.

  • Identify common performance bottlenecks in Snowflake and how to address them.

Remember that the Snowflake Data Engineer - Accounts and Security certification (ARA-C01) is an intermediate to advanced level exam, so you should have a good understanding of Snowflake's architecture, data management, and security features before taking it. Practice with real Snowflake environments, if possible, and familiarize yourself with the specific features and best practices mentioned in the exam topics. Good luck with your preparation!

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5905916
udemy ID
03/04/2024
course created date
02/07/2024
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