CompTIA DS0-001 Exam Details & Actual Exam Questions

  • Exam Code/Number: DS0-001
  • Exam Name/Title: CompTIA DataSys+ Certification Exam
  • Certification Provider: CompTIA
  • Corresponding Certification: CompTIA DataSys+
  • Exam Questions: 120
  • Updated On: Oct,16 2026
  • Certification Level: Professional

CompTIA DataSys+ Certification Exam Questions

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CompTIA DS0-001 Exam Overview:

Certification Vendor:CompTIA
Exam Name:CompTIA DataSys+ Certification Exam
Exam Number:DS0-001
Real Exam Qty:Up to 90 questions
Certificate Validity Period:3 years
Available Languages:Japanese, English
Passing Score:700 (on a scale of 100–900)
Exam Duration:90 minutes
Related Certifications:CompTIA Server+
CompTIA Data+
CompTIA Security+
Exam Price:$390 USD (approximate; may vary by region)
Exam Format:Performance-based questions, Multiple-choice
Recommended Training:CompTIA CertMaster Learn DataSys+
Official DataSys+ Study Guide (DS0-001)
Exam Registration:CompTIA Official Certification Page
Pearson VUE Exam Registration
Sample Questions:CompTIA DS0-001 Sample Questions
Exam Way:Online proctored or in-person testing via Pearson VUE authorized test centers
Pre Condition:No formal prerequisites; 2–3 years of experience in database administration is recommended.
Official Syllabus URL:https://www.comptia.org/certifications/datasys

CompTIA DS0-001 Exam Syllabus Topics:

SectionWeightObjectives
Data and Database Security23%- Protection mechanisms
  • 1. Governance and compliance
    • 2. Encryption and data protection
      • 3. Attack prevention and mitigation
        - Security controls
        • 1. Authentication and authorization
          • 2. Access control and role management
            Database Deployment16%- Implementation and testing
            • 1. Schema validation
              • 2. Stress and regression testing
                • 3. Version control and deployment validation
                  • 4. Connectivity testing
                    - Planning and design
                    • 1. Requirements gathering
                      • 2. Database architecture design
                        • 3. ERDs and data dictionaries
                          Database Fundamentals24%- SQL development
                          • 1. Stored procedures and views
                            • 2. ACID properties
                              • 3. DDL, DML, TCL
                                - Database structure types
                                • 1. Relational vs non-relational databases
                                  • 2. Common systems (e.g., MongoDB, DynamoDB, Cassandra, Neo4j)
                                    • 3. NoSQL types (document, key-value, column, graph)
                                      - Scripting and programming
                                      • 1. Server-side vs client-side scripting
                                        • 2. Python, PowerShell, CLI tools
                                          Business Continuity12%- Disaster recovery
                                          • 1. Incident recovery procedures
                                            • 2. Backup and restore strategies
                                              - Continuity planning
                                              • 1. Fault tolerance and redundancy
                                                • 2. High availability systems
                                                  Database Management and Maintenance25%- Monitoring and reporting
                                                  • 1. Performance baselines and trending
                                                    • 2. Alerts and notifications
                                                      • 3. CPU, memory, disk usage monitoring
                                                        - Maintenance tasks
                                                        • 1. Optimization and indexing concepts
                                                          • 2. Replication and backup management
                                                            • 3. Job scheduling and failure monitoring


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