Snowflake · SF-ARC · Advanced

SnowPro Advanced: Architect (ARA-C01) — Practice Questions and Mock Exam

Name: Pass-IT
Author: Pass-IT

Prepare for SF-ARC with original practice questions and clear answer explanations. Ask Alex, your AI tutor, when you need more detail, use your results to identify topics to review, and practice your pacing with timed mock exams.

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65Mock exam questions

115minTime limit

750/ 1000Passing score

Checked against Snowflake · August 2026 · Current exam version

Overview

About the exam

The SnowPro Advanced: Architect Certification (ARA-C01) validates the ability to design end-to-end data architectures on Snowflake, including data flow from source to consumption, compliance-aware security design, performance optimization using Snowflake and third-party tools, and deploying shared datasets via Snowflake Marketplace and Data Exchange. It tests deep architectural decision-making across the entire platform.

This certification targets experienced solution architects, database architects, and systems architects with two or more years of production Snowflake experience. It demonstrates mastery of enterprise-scale architecture patterns and positions holders for senior technical leadership roles in data platform design.

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Try five SF-ARC questions

Try five practice questions from the app’s current SnowPro Advanced: Architect (ARA-C01) question bank, with answers and explanations.

Accounts and Security1 / 5

What is the purpose of tag-based masking in Snowflake?

AlexFull explanation from Alex

Tag-based masking automatically applies masking policies to columns carrying a specific tag. Per Snowflake docs (docs.snowflake.com/en/user-guide/tag-based-masking-policies), you associate a masking policy with a tag via ALTER TAG; when that tag is assigned to a column whose data type matches the policy signature, masking is enforced automatically. This enables centralized, scalable governance—one tag assignment protects all matching columns across tables. The option “To mask data based on its storage format” is wrong: masking controls access to values, not storage format. The option “To mask column names in query results” is wrong: column names are never masked; column values are. The option “To encrypt tag metadata in the catalog” is wrong: tag metadata is not encrypted by masking policies; encryption is a separate concern.

Sourcedocs.snowflake.com

Snowflake Architecture2 / 5

What is the Unistore workload architecture in Snowflake designed for?

AlexFull explanation from Alex

Unistore is Snowflake's workload architecture for combining transactional (OLTP) and analytical (OLAP) workloads using hybrid tables. Per Snowflake docs (docs.snowflake.com/en/user-guide/tables-hybrid), hybrid tables use row-based storage with row-level locking for fast point lookups and DML while supporting analytical queries through the same engine. The option “Unifying streaming and batch processing” is wrong: streaming/batch unification is handled by Snowpipe and tasks, not Unistore. The option “Providing a universal data format across cloud providers” is wrong: Unistore addresses workload convergence, not data format portability across clouds. The option “Unifying structured and unstructured data storage” is wrong: while Snowflake supports semi-structured data natively, Unistore specifically targets OLTP+OLAP convergence.

Sourcedocs.snowflake.com

Data Engineering3 / 5

An architect is designing a pipeline where a dynamic table chain (DT1 -> DT2 -> DT3) should target DT3 data freshness within 10 minutes. DT1 sources from a base table, and each transformation adds approximately 2 minutes of processing time. How should TARGET_LAG be configured?

AlexFull explanation from Alex

TARGET_LAG = DOWNSTREAM means a dynamic table has no independent refresh schedule and refreshes only when a downstream dynamic table that reads from it triggers a refresh. In a chain where DT3 is the consumer with the freshness target, DT1 and DT2 should be set to DOWNSTREAM and DT3 should be set to the desired duration. Snowflake measures target lag relative to the base tables at the root of the pipeline and actively schedules refreshes to meet the target, but actual lag can exceed the target if refresh duration, warehouse capacity, data volume, or pipeline depth constrain throughput.

Sourcedocs.snowflake.com

Performance Optimization5 / 5

When should a clustering key be added to a Snowflake table?

AlexFull explanation from Alex

Clustering keys should be added to large tables (typically multiple terabytes) where queries consistently filter on specific columns but partition pruning is poor due to data ordering. Small tables do not benefit from clustering because they have few micro-partitions. The overhead of automatic reclustering makes it cost-effective only for large, frequently queried tables. Per Snowflake docs, clustering keys are best for very large tables (multi-TB) where natural clustering has degraded.

Sourcedocs.snowflake.com

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Question pool

402 practice questions

The Pass-IT question pool gives you material to practice for SF-ARC. A Pass-IT mock exam uses 65 questions and a 115-minute time limit; these are practice settings.

Pool details: SF-ARC

Passing score750 / 1,000

as published by Snowflake

Objectives in the guide13 objectives listed in the official guide

across 4 domains in the official exam guide

Pool size402 questions

= The pool size is equivalent to 6 sets of 65 questions; this does not mean that each mock exam uses a separate set.

Blueprint domains4 domains in the exam blueprint

Accounts and Security 98 · Snowflake Architecture 120 · Data Engineering 103 · Performance Optimization 81

Recorded as checked against sources402 of 402

questions recorded as having their answer, options, and explanation checked against official Snowflake documentation

How questions are made →

Exam domains

What's on the exam

Snowflake Architecture carries the most weight at 30%, testing data model choices, sharing design, development-lifecycle support, object hierarchy, and disaster-recovery solutions end to end. Accounts and Security (25%) and Data Engineering (25%) are tied for second, covering RBAC and encryption design on one side and data loading, transformation, and connector selection on the other. Performance Optimization closes the blueprint at 20%, testing warehouse configuration, clustering, and troubleshooting rather than first-time setup.

The near-even split across four domains means no single topic dominates the blueprint, and architects are expected to reason across all four areas within a single scenario. Underestimating any one domain is risky: a candidate strong on security design but weak on data engineering connectors, or vice versa, loses points evenly across the exam rather than in one concentrated section.

Exam blueprint: SF-ARC

Accounts and Security25%

Design and implement account structures, security models, RBAC, network policies, and encryption for enterprise Snowflake deployments.

≈ 20 h

Snowflake Architecture30%

Design end-to-end data architectures using Snowflake multi-cluster shared data architecture, storage, compute, and cloud services layers.

≈ 24 h

Data Engineering25%

Design data pipelines, ETL/ELT processes, data sharing, and Snowflake Marketplace integration for enterprise data flows.

≈ 20 h

Performance Optimization20%

Optimize warehouse sizing, clustering, materialized views, query profiling, and resource monitoring for enterprise workloads.

≈ 16 h

Format

Exam format and question types

The exam consists of 65 questions in 115 minutes, drawn from multiple-choice, multiple-select, and interactive formats. Most items present a business requirement or existing architecture and ask you to choose the design that fits: an account strategy, a data model, a sharing pattern, or a recovery approach. At roughly 1.8 minutes per question the pacing is workable, but the scenario questions need careful reading.

Question types: SF-ARC

Multiple Choice70%

Select the single answer that best meets the question’s requirements.

Multiple Response30%

Select multiple answers. Follow the question’s instructions on how many to choose.

See Snowflake for official question-format information. The shares shown describe the Pass-IT practice pool; they do not establish the proportions on the official exam.

Planning

Preparing for SF-ARC

Delivered by online proctoring or at an onsite testing center, in English or Japanese. The certification expires two years after your issue date; you recertify through the Snowflake Continuing Education program with an eligible instructor-led training course or an equivalent or higher-level SnowPro certification.

Preparation and logistics: SF-ARC

Preparation

Illustrative study time50–120 h

illustrative planning range: 50 h with relevant experience to 120 h when starting out; your needs may fall outside this range

LevelAdvanced

Recommended backgroundSnowPro Core Certified. 2 or more years of hands-on Snowflake architect experience in production.

Taking and maintaining the certification

DeliveryOnline proctored or onsite testing centers.

Retake policyLimit of 4 attempts in a 12-month period. After three attempts Snowflake recommends attending an onsite Snowflake training course. Each registration requires the full registration fee.

Certification validity2 years

Snowflake certifications expire two years after the certification issue date. Recertify through the Snowflake Continuing Education (CE) program: complete an eligible Snowflake Instructor-Led (ILT) training course, or earn an equivalent or higher-level SnowPro certification. A valid certification is required to take part in the CE program.

Official guideView on provider site

Study notes

Common pitfalls

Topics to review: SF-ARC

01Replication vs Failover
Confusing database replication (read-only copies across regions) with failover groups (full account-level disaster recovery) leads to wrong DR architecture answers.
02Secure Views vs Row Access
Not understanding when to use Secure Views versus Row Access Policies versus Dynamic Data Masking for multi-tenant data isolation causes security design errors.
03Data Mesh Patterns
Misunderstanding how Snowflake accounts, shares, and the Marketplace map to data mesh concepts like data products and domain ownership leads to architecture mistakes.
04Cost Attribution
Not knowing how to architect for cost transparency using resource monitors, warehouse tagging, and account-level billing separation results in governance question failures.
05Cross-Cloud Strategy
Overlooking Snowflake cross-cloud capabilities and assuming single-cloud constraints leads to incorrect multi-region and hybrid architecture answers.

Practice with questions and explanations in Pass-IT →

Questions

Frequently asked questions

How long is the SnowPro Advanced: Architect (ARA-C01) exam?

The SnowPro Advanced: Architect (ARA-C01) exam has 65 questions and a 115-minute time limit.

What is the passing score for SnowPro Advanced: Architect (ARA-C01)?

The passing score for the SnowPro Advanced: Architect (ARA-C01) exam is 750 / 1000.

Which pitfalls should I review when preparing for SnowPro Advanced: Architect (ARA-C01)?

Topics to review include Replication vs Failover, Secure Views vs Row Access, Data Mesh Patterns, Cost Attribution, Cross-Cloud Strategy. Work through examples to check that you understand the distinctions and can explain your answer.

How is the SnowPro Advanced Architect exam weighted?

Snowflake architecture is the largest section at 30%, with accounts and security and data engineering at 25% each and performance optimization at 20%. It is a broad exam by design. Architecture and engineering together are more than half of it, so account design alone does not carry you through.

What do you need before the Advanced Architect exam?

SnowPro Core certification is required, not recommended. Snowflake additionally expects two or more years of hands-on architect work in production, and the catalog budget is around 80 hours. Without the Core certification you cannot book this exam at all.

Advanced Architect or Advanced Administrator?

The administrator exam is weighted 31% towards access control and 20% towards performance tuning, which is the running-it job. The architect exam puts 30% on architecture and 25% on data engineering, which is the designing-it job. Both require SnowPro Core first, and neither is a level above the other.

How many attempts do you get at the Advanced Architect exam?

Four in any 12-month period. Snowflake recommends onsite training after three attempts rather than letting you keep rebooking indefinitely.

One certification, 12 months

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