CompTIA DataSys Plus Exam Syllabus

DataSys+ PDF, DS0-001 Dumps, DS0-001 PDF, DataSys+ VCE, DS0-001 Questions PDF, CompTIA DS0-001 VCE, CompTIA DataSys Plus Dumps, CompTIA DataSys Plus PDFUse this quick start guide to collect all the information about CompTIA DataSys+ (DS0-001) Certification exam. This study guide provides a list of objectives and resources that will help you prepare for items on the DS0-001 CompTIA DataSys+ exam. The Sample Questions will help you identify the type and difficulty level of the questions and the Practice Exams will make you familiar with the format and environment of an exam. You should refer this guide carefully before attempting your actual CompTIA DataSys Plus certification exam.

The CompTIA DataSys+ certification is mainly targeted to those candidates who want to build their career in Data and Analytics domain. The CompTIA DataSys+ exam verifies that the candidate possesses the fundamental knowledge and proven skills in the area of CompTIA DataSys Plus.

CompTIA DataSys+ Exam Summary:

Exam Name CompTIA DataSys+
Exam Code DS0-001
Exam Price $369 (USD)
Duration 90 mins
Number of Questions 90
Passing Score 700 / 900
Books / Training CompTIA DataSys+ Certification Training
CertMaster Learn for DataSys+ Training
Schedule Exam Pearson VUE
Sample Questions CompTIA DataSys+ Sample Questions
Practice Exam CompTIA DS0-001 Certification Practice Exam

CompTIA DS0-001 Exam Syllabus Topics:

Topic Details

Database Fundamentals - 24%

Compare and contrast database structure types. - Relational vs. non-relational databases
- Linear vs. non-linear format
- NoSQL types
  • Document databases
  • Key-value stores
  • Column-oriented databases
  • Graph databases

- Tools

  • Cassandra
  • MongoDB
  • Neo4j
  • Amazon DynamoDB
  • Cosmos
Given a scenario, develop, modify, and run SQL code.
- Data definition language (DDL)
- Data manipulation language (DML)
- Set-based logic
- Transaction control languages (TCLs)
- Atomicity, consistency, isolation, durability (ACID) principles
- American National Standards Institute (ANSI) Structured Query Language (SQL)
- Programming with SQL
  • Triggers
  • Stored procedures
  • Functions
  • Views
Compare and contrast scripting methods and scripting environments.
- Script purpose and runtime location
  • Server side
  • Client side
- Languages
  • PowerShell
  • Python
- Command-line scripting
  • Linux
  • Windows
Explain the impact of programming on database operations.
- Object-relational mapping (ORM)
  • Hibernate
  • Entity Framework
  • Ebean
- Process to gauge impact
  • Review SQL code generated by ORM
  • Confirm validity of code
  • Determine impact to database server
  • Provide solutions/alternate approach, as needed

Database Deployment - 16%

Compare and contrast aspects of database planning and design.
- Requirements gathering
  • Number of users
  • Storage capacity
    - Size
    - Speed
    - Type
  • Database objectives
    - Use cases/purposes
- Database architecture factors
  • Inventory of needed assets
    - Gap analysis
  • Cloud-based vs. on-premises
  • Types of cloud-hosted environments:
    - Platform as a service (PaaS)
    - Software as a service (SaaS)
    - Infrastructure as a service (IaaS)
  • Database schema
    - Logical
    - Physical
    - View
  • Data sources
  • System specifications
- Design documentation
  • Data dictionary
  • Entity relationships
  • Data cardinality
  • System requirements documentation
Explain database implementation, testing, and deployment phases.
- Acquisition of assets
- Phases of deployment
  • Installation and configuration
    - Database prerequisites
    - Provisioning
    - Upgrading
    - Modifying
    - Importing
- Database connectivity
  • Database server location
  • Networking concepts
    - Domain name service (DNS)
    - Client/server architecture
    1. Firewall and perimeter network considerations
    2. Static and dynamic internet protocol (IP) addressing
    - Ports/protocols
- Testing
  • Database quality check (columns, tables, fields)
  • Code execution
  • Schema meets original requirements
  • Syntax errors
  • Stress testing
    - Stored procedures stress test
    - Application stress test
  • Notification triggers and alerts
  • Version control testing
  • Regression testing
  • Negative testing
- Validate
  • Index analysis
  • Data mapping
  • Data values
  • Queries
  • Referential integrity/integrity validation
  • Scalability validation

Database Management and Maintenance - 25%

Explain the purpose of monitoring and reporting for database management and performance.
- System alerts/notifications
  • Growth in size/storage limits
  • Daily usage
  • Throughput
  • Resource utilization
    - Central processing unit (CPU) usage
    - Memory
    - Disk space
    - Operating system (OS) performance
  • Baseline configuration/trending
  • Monitoring job completion/ failure
  • Replication
  • Database backup alerts
- Transaction log files
- System log files
- Deadlock monitoring
- Connections and sessions
  • Concurrent connections
  • Failed/attempted connections
Explain common database maintenance processes.
- Query optimization
- Index optimization
- Patch management
  • Updates
  • Security and maintenance patches
- Database integrity checks
  • Table locking techniques
- Data corruption checks
- Periodic review of audit logs
- Performance tuning
  • Transaction volumes
- Load balancing
- Change management
  • Release schedules
  • Capacity planning
  • Upgrades
  • Vulnerability remediation
  • Change approval
  • Communication
  • Database refresh
Given a scenario, produce documentation and use relevant tools.
- Data dictionaries
- Entity relationship diagram (ERD)
- Maintenance documentation
- Standard operating procedure (SOP) documentation
  • Organizational compliance documentation
  • Third-party compliance documentation
- Tools
  • Unified modeling language (UML) editors
  • Word processors
  • Spreadsheet tools
Given a scenario, implement data management tasks.
- Data management
  • Modify data
  • Define data
  • Append columns
  • Create new data sets
  • Views/materialized views
  • Index creation
  • Create data tables
  • Create data relationships
- Data redundancy
- Data sharing

Data and Database Security - 23%

Explain data security concepts.
- Encryption
  • Data in transit
    - Client-side encryption
    - In-transit encryption
    - Server-side encryption
  • Data at rest
- Data masking
  • Data discovery
- Data destruction techniques
- Data security audit
  • Expired accounts
  • Connection requests
- Code auditing
  • SQL code
  • Credential storage checks
Explain the purpose of governance and regulatory compliance.
- Data loss prevention
- Data retention policies
- Data classification
  • Personally identifiable information (PII)/personal health information (PHI)
  • Payment Card Industry Data Security Standard (PCI DSS)
- Global regulations
  • General Data Protection Regulation (GDPR)
- Regional regulations
Given a scenario, implement policies and best practices related to authentication and authorization.
- Access controls
  • Rights and privileges
  • Least privilege
- Password policies
- Service accounts
- Identity and access management
Explain the purpose of database infrastructure security.
- Physical
  • Access control
    - Biometrics
  • Surveillance
  • Fire suppression
  • Cooling system
- Logical
  • Firewall
  • Perimeter network
  • Port security
Describe types of attacks and their effects on data systems.
- SQL injection
- Denial of service (DoS) attacks
- On-path attacks
- Brute-force attacks
- Phishing
- Malware
  • Ransomware

Business Continuity - 12%

Explain the importance of disaster recovery and relevant techniques.
- Disaster recovery (DR) planning
  • DR documentation
    - Manuals
    - System security plan
    - Continuity of operations plan
    - Build documentation
  • DR techniques
    - Replication
    - Log shipping
    - High availability
    - Mirroring
- DR plan testing
  • Recovery point objective (RPO)
  • Recovery time objective (RTO)
- Transition/failback to normal operations
Explain backup and restore best practices and processes.
- Full backup vs. incremental
  • Differential
- Database dumping
- Schedule and automate backups
- Test backups
- Validate backup hash
- Storage location
  • On-site vs. off-site
- Retention policy
  • Purge vs. archive cycles

To ensure success in CompTIA DataSys Plus certification exam, we recommend authorized training course, practice test and hands-on experience to prepare for CompTIA DataSys+ (DS0-001) exam.

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