CompTIA DataSys+ DS0-002 (V2) Exam Objectives
This page translates the CompTIA DataSys+ DS0-002 (V2) Exam Objectives into clear, practical language. You’ll see what each domain covers, the kinds of tasks that show up on the exam, and a focused study plan that turns objectives into repeatable labs, PBQs, and job-ready DBA skills.
Last updated: January 6, 2026. Always verify against the official CompTIA blueprint before your exam.
TL;DR: DataSys+ validates hands-on skills to deploy, manage, secure, and recover databases. The blueprint spans five domains: Database Fundamentals, Database Deployment, Database Management & Maintenance, Data & Database Security, and Business Continuity. Test details at a glance: up to 90 questions in 90 minutes; MCQ + PBQ; recommended 2–3 years DBA experience.
Table of Contents
- What Is Covered on CompTIA DataSys+ DS0-002 (V2)?
- Objective-By-Objective Breakdown (with examples)
- Who This Certification Is For
- Study Plan: How to Master DS0-002
- Free Checklist & Next Steps
- Frequently Asked Questions
What Is Covered on CompTIA DataSys+ DS0-002 (V2)?
The exam confirms you can:
- Compare database and data types; write SQL (DDL/DML/TCL/DQL) with joins, windowing, nested queries; and understand how scripting/ORMs impact performance.
- Plan and deploy databases across on-prem/cloud/DBaaS with proper testing/validation and connectivity.
- Monitor, tune, and maintain databases with patching, integrity checks, partitioning, and change management (incl. CI/CD).
- Enforce security (encryption, masking, anonymization), governance, and regulatory requirements.
- Design for backup/restore, HA/DR, and continuity.
- Integrate data with mapping, validation, and consistency checks.
Note
The wording below is learner-friendly. Map your prep directly to the official DS0-002 objectives before test day.
Objective-By-Objective Breakdown (with examples)
1) Database Fundamentals
What you should be able to do:
- Compare database & data types: relational vs. non-relational (document, key-value, columnar, graph, vector, time-series, object-oriented); structured vs. semi-structured vs. unstructured.
- Write SQL like a pro: DDL/DML/TCL/DQL, joins, window functions, nested queries, CRUD, set-based logic; program with triggers, stored procedures, and functions.
- Scripting methods & environments: server- vs. client-side; PowerShell, Python, Unix shell, Perl; CLI vs. IDE scripting.
- Programming impact on DBs: understand ORMs (e.g., Hibernate, Entity Framework, SQLAlchemy, dbt, Ebean); review generated SQL, validate, assess server impact, remediate.
2) Database Deployment
What you should be able to do:
- Plan & operate: requirements, gap analysis, sizing/speed/type of storage, user counts/types, SLAs/KPIs/escalations/reporting.
- Deploy & provision: install/configure, upgrade/modify/import; choose hosting (PaaS/SaaS/IaaS/DBaaS) and consider computational persistence.
- Test & validate: schema compatibility; DB/app stress tests; regression testing; validate with index analysis, data mapping/values, and referential integrity.
- Connectivity concepts: load balancers, DNS, client/server, firewalls/perimeter, static/dynamic IPs, multi-AZ regions, and ports/protocols.
3) Database Management & Maintenance
Keep it healthy, observable, and documented.
- Monitoring & reporting: growth, daily usage, throughput, CPU/memory/disk/OS performance, baselines/trends, job status, replication, backup alerts, logs, deadlocks, sessions/connections.
- Maintenance: query/index optimization, patching, integrity/corruption checks, audit log reviews, tuning, load balancing, formal change management (releases, capacity, upgrades, vuln remediation, approvals, comms, refresh).
- Documentation & tools: data dictionaries, ERDs, SOPs/compliance docs; UML editors, word processors, spreadsheets.
- Data tasks: modify/define data, append columns, create datasets/tables/relationships, materialized views, indexes, and manage redundancy/sharing safely.
4) Data & Database Security
Protect data, identity, and infrastructure.
- Data security concepts: encryption (in transit/at rest; client/server/in-transit), masking/discovery, destruction, security audits (expired accounts, connection requests), SQL/code & credential storage checks.
- Governance & compliance: DLP, retention, classification (PII/PHI), PCI DSS, GDPR and regional requirements.
- AuthN/AuthZ: least privilege, rights/privileges, password policies, service accounts, IAM patterns.
- Infra security: physical (access control/biometrics, surveillance, fire suppression, cooling) and logical (firewalls, perimeter, port security).
- Threats: SQL injection, DoS, on-path, brute force, phishing, malware (incl. ransomware).
5) Business Continuity
Design, test, and prove your recovery plan.
- DR planning & docs (SSP/COOP/build manuals), techniques (replication, log shipping, HA, mirroring), and DR testing (RPO/RTO) with clean transition/failback.
- Backup & restore: full vs. incremental/differential, dumps, schedules/automation, test & verify (hash), storage location (on/off-site), retention (purge vs. archive).
6) Data Integration
What you should be able to do:
- Implement mapping, compatibility checks, data-value validation, and referential/consistency controls across systems to ensure trustworthy movement and transformation of data.
Who This Certification Is For
DataSys+ suits database administrators, data operations engineers, and systems engineers who manage relational and non-relational platforms across on-prem and cloud. CompTIA recommends 2–3 years in a DBA role.
Study Plan: How to Master the DS0-002 Objectives
- SQL & ORM reality checks
Write queries for common patterns (top-N with window functions, multi-table joins, correlated subqueries). Generate ORM SQL for the same cases, compare execution plans, and document remediation. - Deployment lab (on-prem → cloud/DBaaS)
Install a small DB, then migrate to a managed environment. Validate schema compatibility, run DB/app stress tests, and regression test a sample workload. Capture evidence (screens/configs/logs). - Ops & tuning sprints
Set alerts for jobs, backups, growth, and failed logins. Track CPU/memory/IOPS, deadlocks, and session counts; fix with indexing/partitioning/query tuning and record before/after metrics. - Security & governance guardrails
Enable TLS, at-rest encryption (note BYOK/KYOK), credential scanning, masking/anonymization where appropriate, and log/audit reviews. Map retention/sovereignty and PII/PHI handling to policy. - Continuity drills
Run a backup → restore test and a failover/failback event. Measure RTO/RPO, document gaps, and update SOPs.
