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Required exam DS0-001
Number of questions Maximum of 90
Types of questions Multiple-choice and performance-based
Length of test 90 minutes
Recommended experience 2-3 years of hands-on experience as a database administrator
EXAM OBJECTIVES (DOMAINS)
The table below lists the domains measured by this examination and the extent to which they are represented.
DOMAIN PERCENTAGE OF EXAMINATION
1.0 Database Fundamentals 24%
2.0 Database Deployment 16%
3.0 Database Management and Maintenance 25%
4.0 Data and Database Security 23%
5.0 Business Continuity 12%
About the Exam
The CompTIA Data Systems certification exam will certify the successful candidate has the knowledge and skills required to deploy, manage, and maintain databases, including employing the fundamentals of
scripting and programming in a database environment while using security and business continuity best practices.
CompTIA exams result from subject matter expert workshops and industry-wide survey results regarding the skills and knowledge required of an IT professional.
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The lists of examples provided in bulleted format are not exhaustive lists. Other examples of technologies, processes, or tasks pertaining to each objective may also be included on the exam,
although not listed or covered in this objectives document. CompTIA is constantly reviewing the content of our exams and updating test questions to be sure our exams are current, and the security
of the questions is protected. When necessary, we will publish updated exams based on existing exam objectives. Please know that all related exam preparation materials will still be valid.
1.0 Database Fundamentals
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
- Amazon DynamoDB
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
- Stored procedures
Compare and contrast scripting methods and scripting environments.
* Script purpose and runtime location
- Server side
- Client side
* Command-line scripting
1.4 Explain the impact of programming on database operations.
* Object-relational mapping (ORM)
- Entity Framework
* 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
1.0 | Database Fundamentals
2.0 Database Deployment
Compare and contrast aspects of database planning and design.
* Requirements gathering
- Number of users
- Storage capacity
- Database objectives
o Use cases/purposes
* Database architecture factors
- Inventory of needed assets
o Gap analysis
- Cloud-based vs. on-premises
- Types of cloud-hosted environments:
o Platform as a service (PaaS)
o Software as a service (SaaS)
o Infrastructure as a service (IaaS)
- Database schema
- 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
o Database prerequisites
* Database connectivity
- Database server location
- Networking concepts
o Domain name service (DNS)
o Client/server architecture
° Firewall and perimeter network considerations
° Static and dynamic internet protocol (IP) addressing
- Database quality check (columns, tables, fields)
- Code execution
- Schema meets original requirements
- Syntax errors
- Stress testing
o Stored procedures stress test
o Application stress test
- Notification triggers and alerts
- Version control testing
- Regression testing
- Negative testing
- Index analysis
- Data mapping
- Data values
- Referential integrity/integrity validation
- Scalability validation
3.0 Database Management and Maintenance
Explain the purpose of monitoring and reporting for database management and performance.
* System alerts/notifications
- Growth in size/storage limits
- Daily usage
- Resource utilization
o Central processing unit (CPU) usage
o Disk space
o Operating system (OS) performance
- Baseline configuration/trending
- Monitoring job completion/ failure
- 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
- 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
- Vulnerability remediation
- Change approval
- 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
- Unified modeling language (UML) editors
- Word processors
- Spreadsheet tools
3.0 | Database Management and Maintenance
3.4 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
4.0 Data and Database Security
Explain data security concepts.
- Data in transit
o Client-side encryption
o In-transit encryption
o 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.
Given a scenario, implement policies and best practices related to authentication and authorization.
* 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
* Access controls
- Rights and privileges
- Least privilege
* Password policies
* Service accounts
* Identity and access management
Explain the purpose of database infrastructure security.
- Access control
- Fire suppression
- Cooling system
- 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
4.0 | Data and Database Security
5.0 Business Continuity
Explain the importance of disaster recovery and relevant techniques.
* Disaster recovery (DR) planning
- DR documentation
o System security plan
o Continuity of operations plan
o Build documentation
- DR techniques
o Log shipping
o High availability
* DR plan testing
o Recovery point objective (RPO)
o Recovery time objective (RTO)
* Transition/failback to normal operations
Explain backup and restore best practices and processes.
* Full backup vs. incremental
* Database dumping
* Schedule and automate backups
* Test backups
* Validate backup hash
* Storage location
- On-site vs. off-site
* Retention policy
- Purge vs. archive cycles
Over the weekend, a company's transaction database was moved to an upgraded server. All validations performed after the migration indicated that the database was functioning as expected.
However, on Monday morning, multiple users reported that the corporate reporting application was not working.
Which of the following are the most likely causes? (Choose two.)
A. The access permissions for the service account used by the reporting application were not changed.
B. The new database server has its own reporting system, so the old one is not needed.
C. The reporting jobs that could not process during the database migration have locked the application.
D. The reporting application's mapping to the database location was not updated.
E. The database server is not permitted to fulfill requests from a reporting application.
F. The reporting application cannot keep up with the new, faster response from the database.
Answer: A, D
The most likely causes of the reporting application not working are that the access permissions for the service account used by the reporting application were not changed, and that the reporting
application's mapping to the database location was not updated. These two factors could prevent the reporting application from accessing the new database server. The other options are either
irrelevant or unlikely to cause the problem. Reference: CompTIA DataSys+ Course Outline, Domain
3.0 Database Management and Maintenance, Objective 3.2 Given a scenario, troubleshoot common database issues.
A database administrator needs to ensure that a newly installed corporate business intelligence application can access the company's transactional data.
Which of the following tasks should the administrator perform first?
A. Create a new service account exclusively for the business intelligence application.
B. Build a separate data warehouse customized to the business intelligence application's specifications.
C. Set up a nightly FTP data transfer from the database server to the business intelligence application server.
D. Send the business intelligence administrator the approved TNS names file to configure the data mapping.
E. Open a new port on the database server exclusively for the business intelligence application.
The first task that the administrator should perform is to create a new service account exclusively for the business intelligence application. This will ensure that the application has the appropriate
permissions and credentials to access the company's transactional data. The other options are either unnecessary, inefficient, or insecure. For example, building a separate data warehouse would require
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