Snowflake · ARA-C01
SnowPro Advanced: Architect (ARA-C01) Practice Tests
Validates advanced skills required to design, deploy, and optimize comprehensive Snowflake architecture solutions meeting business, security, and compliance requirements. Targets solution architects and database architects with 2+ years of hands-on Snowflake production experience.
Exam Details
Practice Questions
592
≈ 5 practice exams
Duration
115 minutes
Passing Score
750/1000
Difficulty
ProfessionalLast Updated
Jun 2026
Topics Covered
Accounts & SecurityArchitectural DesignData EngineeringPerformance OptimizationData Sharing & MarketplaceMulti-Cluster & Multi-Account StrategyWorkload Optimization & Cost Management
SnowPro Advanced: Architect (ARA-C01) Practice Exam Preparation
Use this ARA-C01 practice exam to prepare for SnowPro Advanced: Architect (ARA-C01) with realistic questions, detailed explanations, and focused study modes. The practice bank includes 592 questions for Snowflake ARA-C01, so you can review the exam steadily instead of relying on one long cram session.
As you practice, pay extra attention to recurring topics such as Accounts & Security, Architectural Design, Data Engineering, Performance Optimization, and Data Sharing & Marketplace. Start with short sessions to identify weak areas, then move into timed quizzes once your accuracy is consistent.
The explanations are especially useful when you want to connect exam wording to the responsibilities and scenarios described in the official certification guidance. Use the free preview first, then unlock the full question bank when you are ready to build a complete study routine.
Exam Domain Breakdown
Accounts and Security25%
Snowflake Architecture30%
Data Engineering25%
Performance Optimization20%
Exam Overview
The SnowPro Advanced: Architect (ARA-C01) is Snowflake's role-based advanced certification that validates the skills required to design, deploy, and optimize comprehensive data architecture solutions on the Snowflake Data Cloud. It tests a candidate's ability to architect end-to-end data flows from source to consumption, select appropriate Snowflake-native and third-party tooling to meet performance and scalability requirements, and deploy shared datasets using Snowflake Marketplace and Data Exchange. The exam covers four weighted domains: Accounts and Security, Snowflake Architecture, Data Engineering, and Performance Optimization.
This certification is positioned as an advanced-level credential, building directly on the SnowPro Core and requiring demonstrated production-grade expertise. Candidates are expected to understand Snowflake's multi-cluster architecture, virtual warehouse configuration, data governance controls including column- and row-level security, RBAC hierarchies, CI/CD integration, and disaster recovery mechanisms such as Time Travel, Fail-safe, and zero-copy cloning. Snowflake updates its exam content periodically to reflect platform releases, so candidates should always reference the current official exam study guide.
Who Should Take This Exam
The ARA-C01 is designed for professionals who operate as architects in production Snowflake environments with a minimum of two years of hands-on experience. Primary job titles include Solution Architect, Data Architect, Database Architect, Cloud Architect, and Systems Architect. Candidates typically own enterprise-scale architectural decisions spanning multi-account strategy, data security and compliance design, workload isolation, and cross-organizational data sharing.
Strong candidates have practical experience building and optimizing complex ETL/ELT pipelines, implementing Snowflake security and governance frameworks, working with multiple data modeling methodologies (Star, Snowflake schema, Data Vault), and coding outside of SQL in contexts such as DevOps or DataOps workflows. Professionals who manage or advise on Snowflake deployments across Business Critical or higher editions will find the content especially relevant.
Prerequisites
Snowflake requires candidates to hold an active SnowPro Core Certification before sitting for the ARA-C01 exam. The Core certification ensures a baseline understanding of Snowflake's foundational architecture, storage and compute separation, and standard platform features. Snowflake does not enforce additional formal prerequisites beyond the Core cert, but the exam is calibrated for candidates with substantial real-world exposure.
Recommended knowledge includes proficiency with Snowflake virtual warehouse sizing and multi-cluster configuration, SQL and SQL analytics, Snowflake's object hierarchy (organization, account, database, schema, object), data security concepts such as RBAC and network policies, Snowpipe and streaming ingestion patterns, Streams and Tasks for pipeline automation, and familiarity with cloud provider networking on AWS, Azure, or GCP. Prior experience with DevOps tooling for CI/CD pipelines integrated with Snowflake is also beneficial.
Exam Format
The ARA-C01 exam consists of 65 scored questions delivered over 115 minutes, administered either via online proctoring through Kryterion's Webassessor platform or at an onsite Kryterion testing center. Question types include multiple choice (single correct answer), multiple select (multiple correct answers), and true/false. The exam fee is $375 USD per attempt.
Scoring uses a scaled system ranging from 0 to 1000, with a passing threshold of 750. Scores are reported on this scale rather than as a raw percentage, meaning scaled scoring accounts for minor variations in question difficulty across exam versions. Candidates who need to renew the credential can take the shorter recertification exam (ARA-R01, $188 USD) instead of repeating the full exam; passing the Advanced recertification also automatically renews the associated SnowPro Core certification.
Skills Measured
- 1.Domain 1 – Accounts and Security (25%): Designing Snowflake account and database strategies to meet business requirements, including single-account vs. multi-account trade-offs, Snowflake parameter hierarchy (account, object, and session parameters), and organization-level account management. Covers RBAC design, custom role hierarchies, network policies, multi-factor authentication (MFA), federated authentication/SSO, column-level security, row-level security policies, dynamic data masking, and data governance frameworks to satisfy privacy and compliance mandates.
- 2.Domain 2 – Snowflake Architecture (30%): Understanding and applying Snowflake's core architectural constructs, including data modeling approaches (Star schema, Snowflake schema, Data Vault), object hierarchy design, and data sharing solutions across accounts, regions, and cloud providers using Snowflake Marketplace and Data Exchange. Includes CI/CD pipeline integration with Snowflake environments, development lifecycle management, Time Travel configuration by table type and cost implications, Fail-safe, zero-copy cloning for data recovery, and disaster recovery architecture.
- 3.Domain 3 – Data Engineering (25%): Designing and selecting appropriate data loading and unloading strategies including bulk loading, Snowpipe, Snowpipe Streaming, and external tables. Covers integration with ecosystem tools for data ingestion, Streams and Tasks for pipeline automation and transformation, user-defined functions (UDFs) and stored procedures, and architectural patterns for ELT/ETL workloads. Candidates must evaluate trade-offs between ingestion methods based on latency, cost, and throughput requirements.
- 4.Domain 4 – Performance Optimization (20%): Query profiling to identify and resolve performance bottlenecks using the Query Profile UI and QUERY_HISTORY views. Virtual warehouse configuration including warehouse sizing, multi-cluster warehouses, auto-suspend and auto-resume policies, and workload isolation. Clustering key design and when to apply automatic vs. manual clustering, search optimization service, materialized views, result caching, and metadata caching strategies. Monitoring and troubleshooting techniques using Resource Monitors and account usage views.
Study Tips
- Download and work through the official ARA-C01 Exam Study Guide from learn.snowflake.com before doing anything else — it maps every testable subdomain with explicit topic lists and domain weights, giving you a precise study checklist rather than broad categories.
- Complete the Snowflake-provided instructor-led or on-demand courses on Snowflake's learning portal (learn.snowflake.com), particularly the Advanced Architect learning path, which aligns content directly to the four exam domains.
- Build hands-on labs in a Snowflake trial account covering multi-account architecture scenarios: set up RBAC hierarchies with custom roles, configure network policies, create Streams and Tasks pipelines, and experiment with Snowpipe vs. Snowpipe Streaming to understand real trade-offs tested in scenario questions.
- Focus significant study time on Domain 2 (Snowflake Architecture, 30% weight) — particularly data sharing across regions and cloud providers, Time Travel cost and table-type interactions, and CI/CD integration patterns, as these are the highest-weighted topics with the most scenario-based question depth.
- Practice interpreting Query Profile outputs and know when to apply clustering keys, search optimization, materialized views, or warehouse resizing — Domain 4 questions are scenario-driven and require understanding which optimization technique is appropriate given specific workload and cost constraints.
- Use the Snowflake documentation on Business Critical edition features (Tri-Secret Secure, customer-managed keys, Private Link) and multi-account organization features, as these advanced security and governance topics appear in Domain 1 and are not covered in depth by the SnowPro Core curriculum.
- Take at least two full-length timed practice exams under real conditions (115 minutes, 65 questions) using reputable sources such as the practice sets on CertSafari or CertificationPractice.com to calibrate your pacing and identify remaining weak domains before your scheduled exam date.
Career Benefits
The SnowPro Advanced: Architect credential signals enterprise-grade Snowflake expertise in a market where demand for certified Snowflake architects significantly outpaces supply. Certified professionals qualify for senior and principal-level roles such as Senior Data Architect, Cloud Solutions Architect, and Principal Data Engineer at organizations that have standardized on Snowflake as their data platform. Industry salary data for 2025 places SnowPro Advanced Architects at approximately $185,000 USD annually in the United States, with certified professionals reporting 10–15% salary increases post-certification relative to non-certified peers in equivalent roles.
Unlike the vendor-neutral AWS Solutions Architect or Google Professional Data Engineer credentials, the ARA-C01 directly certifies deep platform-specific expertise that organizations actively seek when scaling Snowflake deployments to Business Critical or higher editions with multi-region, multi-cloud, or data-sharing requirements. Holding both the SnowPro Core and Advanced: Architect certifications creates a recognized dual credential in the Snowflake ecosystem, and passing the Advanced recertification exam simultaneously renews the Core, reducing long-term maintenance overhead. Snowflake's partner network and marketplace ecosystem also give certified architects visibility through Snowflake's official certification directory.
Sample Questions
5 sample questions with answers and explanations. The full bank has 592 questions, enough for 5 full-length practice exams.
Preview — answers shown1. Northwind Financial is expanding globally and wants to implement a multi-account Snowflake strategy. Their cloud operations team needs to programmatically create new regional Snowflake accounts, monitor organization-wide credit consumption, and enable cross-account database replication — all from a centralized governance account. Which Snowflake role must be granted to the cloud operations team to perform all of these functions? (Select one!)
AORGADMIN
BACCOUNTADMIN
CSECURITYADMIN
DSYSADMIN
Explanation
ORGADMIN is the organization-level role that enables creating new accounts via CREATE ACCOUNT, viewing all accounts in the organization via SHOW ORGANIZATION ACCOUNTS, monitoring organization-wide usage and billing through the ORGANIZATION_USAGE schema, and enabling replication for databases across accounts. SYSADMIN handles warehouse and database creation within a single account but has no cross-account or account-creation capabilities. ACCOUNTADMIN manages within a single account and cannot create new accounts or access organization-level billing views. SECURITYADMIN manages users and roles within a single account. Only ORGADMIN operates at the organization level above individual Snowflake accounts, making it the only role capable of fulfilling all three stated requirements from a centralized governance account.
2. Tailspin Analytics is configuring cross-region Snowflake replication to satisfy disaster recovery requirements. The architecture team is documenting which object types will NOT be automatically replicated, so that manual recovery procedures can be prepared for those objects in the secondary account. Which two object types are excluded from Snowflake replication and must be recreated manually? (Select two!)
Multiple correct answersAExternal tables
BIceberg tables
CTemporary tables
DStored procedures
ENetwork policies
Explanation
External tables and temporary tables are explicitly excluded from Snowflake replication. External tables reference data in external cloud storage paths that may differ between accounts and regions, making replication of their definitions impractical without guaranteed path alignment. Temporary tables are session-scoped by design and have no meaningful state to replicate across accounts. Iceberg tables are fully supported for database replication and are included when replication groups are configured. Stored procedures are database-level objects and are replicated as part of database replication groups. Network policies are account-level objects replicated through account-level replication, subject to Business Critical edition requirements for full account object replication.
3. Tailspin Insurance is configuring a failover group to enable disaster recovery across two Business Critical Snowflake accounts in separate AWS regions. After the initial replication completes, the operations team audits the secondary account and discovers several objects from the source account are absent. Which three object types are NOT replicated as part of a failover group? (Select three!)
Multiple correct answersAExternal tables
BTemporary tables
CDatabases sourced from data shares
DVirtual warehouses
EIceberg tables
FResource monitors
Explanation
External tables, temporary tables, and databases sourced from data shares are explicitly excluded from Snowflake replication. External tables reference data in external cloud storage, but their metadata and table definitions are not replicated because the external data location must be configured independently in each account. Temporary tables are session-scoped by design and are not meaningful outside their originating session, so there is nothing to replicate. Databases created from data shares cannot be replicated because they are read-only views into another account's data rather than independently owned databases — the consumer account must establish its own share relationship. Virtual warehouses and resource monitors are account-level objects that are fully supported for replication. Iceberg tables are database-level objects that are also replicated when included in a replication or failover group, including their catalog integration and external volume references.
4. Fabrikam Corp is a global enterprise with 15 business units each operating separate Snowflake accounts. The central IT team must accomplish three objectives: create new Snowflake accounts programmatically, monitor usage and billing metrics across all accounts in a unified view, and enable database replication between accounts. Which role and schema together fulfill all three requirements? (Select two!)
Multiple correct answersAORGADMIN role
BACCOUNTADMIN role
CSYSADMIN role
DSNOWFLAKE.ORGANIZATION_USAGE schema
ESNOWFLAKE.ACCOUNT_USAGE schema
Explanation
ORGADMIN is the only Snowflake role that can create new accounts using the CREATE ACCOUNT command, view all organization accounts with SHOW ORGANIZATION ACCOUNTS, and enable replication across accounts — fulfilling all three operational objectives. SNOWFLAKE.ORGANIZATION_USAGE provides organization-wide billing and consumption metrics aggregated across every account under the organization, which is required for unified monitoring. ACCOUNTADMIN manages resources within a single account but cannot create new accounts or access cross-account billing data. SYSADMIN handles warehouse and database creation within a single account but has no organization-level authority. SNOWFLAKE.ACCOUNT_USAGE contains usage metrics scoped to the current account only and cannot provide the organization-wide billing view required.
5. A data engineering team at Tailspin Airways loads daily flight log CSV files into Snowflake using COPY INTO. Source files occasionally contain rows with data type mismatches or malformed field values. The team's requirement is to load all valid rows while automatically skipping individual erroneous rows, without aborting the entire statement or skipping the whole file. Which ON_ERROR option should they specify? (Select one!)
AON_ERROR = 'CONTINUE'
BON_ERROR = 'SKIP_FILE'
CON_ERROR = 'FAIL'
DON_ERROR = 'ABORT_STATEMENT'
Explanation
ON_ERROR = 'CONTINUE' instructs the COPY INTO command to skip individual erroneous rows and continue loading the remaining valid rows from the file. This matches the requirement of tolerating row-level errors without failing the overall job. ON_ERROR = 'ABORT_STATEMENT' is the default behavior and causes the entire COPY INTO statement to fail and roll back any rows loaded from the problematic file when an error is encountered. ON_ERROR = 'SKIP_FILE' causes the entire file containing an error to be skipped rather than just the individual bad row, which would discard all valid rows in that file and does not meet the requirement. 'FAIL' is not a valid value for the ON_ERROR parameter in Snowflake's COPY INTO syntax and would produce a parse error at compile time.
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