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The SnowPro Advanced: Architect will validate advanced knowledge and skills to apply comprehensive architect solutions using Snowflake. A certified SnowPro Advanced, Architect has demonstrated specific knowledge and skills related to the design, development, and implementation of Snowflake solutions by successfully passing the certification exam. The individual has demonstrated the application of Snowflake best practices, advanced tuning, and real-world deployment scenarios.

Exam Version: ARA-C01

Total Number of Questions: 65

Question Types: Multiple Select, Multiple Choice, True/False

Time Limit: 115 minutes

Languages: English

Registration Fee: $375 USD

Passing Score: 750 + Scaled Scoring from 0 - 1000

Prerequisites: SnowPro Core Certified

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

Create and configure Snowflake parameters based on a central account and any additional accounts.

List the benefits and limitations of one Snowflake account as compared to multiple Snowflake accounts.

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

Configure Role Based Access Control (RBAC) hierarchy

System roles and associated best practices

Data Access

Data Security

Compliance

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

Encryption

Network security

User, Role, Grants provisioning

Authentication

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

Data models

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

Use Cases

Sharing within the same organization/same Snowflake account

Sharing within a cloud region

Sharing across cloud regions

Sharing between different Snowflake accounts

Sharing to a non-Snowflake customer

Sharing Across platforms

Data Exchange

Data Sharing Methods

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

Data Lake and Environments

Workloads

Development lifecycle support

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

Roles

Warehouses

Object hierarchy

Database

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

Backup/Recovery

Disaster Recovery

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

Data sources

Ingestion of the data

Architecture Changes

Data unloading

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

Connectors

Kafka

Spark

Python

Drivers

JDBC

OBDC

API endpoints

SnowSQL

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

Materialized Views, Views and Secure Views

Staging layers and tables

Querying semi-structured data

Data processing

Stored Procedures

Streams and Tasks

Functions

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

Query profiling

Virtual Warehouse configuration

Clustering

Search Optimization

Caching

Query rewrite

4.2 Troubleshoot performance issues with existing architectures.

JOIN explosions

Warehouse selection (scaling up as compared to scaling out)

Best practices and optimization techniques

Duplication of data

1. Which of the following statements are TRUE concerning a data consumer account in Snowflake? 

A. All objects in the shared database are always read-only for the consumer of the share

B. A consumer of a share does not necessarily need an account with Snowflake to be able to consume data

C. A consumer account must be in the same region and on the same cloud provider as the data provider account

D. A consumer needs to pay for the compute and storage of the shared data

E. A database ‘share’ can be ‘imported’ by at most 10 consumer accounts

Answers: A, B

2. Which of the following statements are FALSE concerning a data consumer account in Snowflake?

A. A single consumer account can contain objects from different providers

B. A consumer account can create clones of a shared database

C. A consumer account can perform time travel on a table within the shared database

D. A consumer account cannot forward (i.e. reshare) the shared databases and objects

Answers: B, C

3. Which of the following programming languages are supported in Snowflake to write UDFs?

A. SQL

B. Java

C. .NET

D. C++

E. JavaScript

F. Python

Answers: A, B, E, F

4. In which of the following languages, can you write a stored procedure in Snowflake?

A. SQL

B. Java

C. Scala

D. JavaScript

E. Python

F. Snowflake Scripting

Answers: B, C, D, E, F

5. Which of the following are TRUE statements with respect to the Snowflake Connector for Kafka?

A. The Kafka connector relies on both – key pair authentication and username/password authentication

B. It is recommended to run your Kafka Connect instance in the same cloud provider region as your Snowflake account

C. Kafka connect cluster is a separate cluster from the Kafka cluster

D. The typical pattern with Kafka connect cluster in Snowflake is that one topic supplies messages (rows) for many Snowflake tables and many Kafka topics supply messages to one Snowflake table (i.e. many-to-many relationship)

Answers: B, C