Objectives of CompTIA DA0-001 Exam
In this section, we will list the objectives you should know in order to pass your CompTIA Data+ certification exam.
The first objective is to understand how to become a successful IT professional with data skills.
The second objective is to learn about different types of data, including structured and unstructured data.
The third objective is to be able to demonstrate your knowledge of at least two types of data storage: online and offline.
The fourth objective is to be able to describe how a client can access information from various sources through technology such as social media or the web. CompTIA DA0-001 exam dumps he best way to prepare for the exams.
The fifth objective is for you to be able to apply concepts related to using software applications such as Microsoft Office suite, Google Docs, and Adobe Creative Cloud.
Introduction of CompTIA DA0-001 Exam
The CompTIA Data+ certification is a vendor neutral certification that validates the ability to use data to solve business problems. It is designed for professionals who work with or support IT, including IT manager, analyst, consultant and project manager.
CompTIA Data+ is focused on the skills necessary to analyze, manage and implement information technology systems within an organization. The exam covers how to collect and analyze data using tools such as spreadsheets and databases; how to use this data to make informed decisions about IT projects; how to create reports from the data; how to communicate findings clearly and concisely through presentations and reports; how to identify security issues related to information assets; and how to apply appropriate standards for data management practices across your company or organization. CompTIA DA0-001 exam dumps are the best practice exams.
The CompTIA Data+ certification is designed for professionals working in a variety of fields such as finance, marketing, human resources, sales and legal who use data in their jobs. The manipulation of the schedule programming dimensions driven updates role components activity interface busy campaigns advertising reasons activities with decision news.
Reference: https://www.comptia.org/training/books/data-da0-001-study-guide
Read at any time
Many of our users have told us that they are really busy. Students have to take a lot of professional classes and office workers have their own jobs. They can only learn in some fragmented time. DA0-001 training guide can meet your requirements. First, there are three versions of DA0-001 learning materials and are not limited by the device. You don't need to worry about network problems either. You only need to use DA0-001 exam questions for the first time in a network environment, after which you can be free from network restrictions. I know that many people like to write their own notes. The PDF version of DA0-001 training guide is for you. The PDF version can be printed and you can carry it with you. If you have any of your own ideas, you can write it above. This can help you learn better.
Download immediately
If you decide to buy a product, you definitely want to use it right away! DA0-001 training guide's powerful network and 24-hour online staff can meet your needs. First of all, we can guarantee that you will not encounter any obstacles in the payment process. After your payment is successful, we will send you an email within 5 to 10 minutes. As long as you click on the link, you can use DA0-001 learning materials to learn. We know that time is really important to you. If you do not receive our email, you can contact our online customer service. We will solve your problem immediately and let you have DA0-001 exam questions as soon as possible.
I know you must want to get a higher salary, but your strength must match your ambition! The opportunity is for those who are prepared! DA0-001 exam questions can help you improve your strength! You will master the most practical knowledge in the shortest possible time. It is also very easy if you want to get the CompTIA certificate. In the face of fierce competition, you should understand the importance of time. You must walk in front of the competitors. If you have more strength, you will get more opportunities. Your dream life can really become a reality! DA0-001 learning materials are here, right to choose!
Spend the least time
How much time do you think it takes to pass an exam? DA0-001 learning materials can assure you that you only need to spend twenty to thirty hours to pass the exam. Many people think this is incredible. But DA0-001 exam questions really did. We chose the most professional team, so our products have a comprehensive content and scientific design. Under the leadership of a professional team, we have created the most efficient learning DA0-001 training guide for our users. Our users use their achievements to prove that we can get the most practical knowledge in the shortest time. DA0-001 exam questions are tested by many users and you can rest assured. If you want to spend the least time to achieve your goals, DA0-001 learning materials are definitely your best choice. You can really try it we will never let you down!
Passing Score, Duration & Questions For The CompTIA DA0-001 Exam
- Exam Length: 90 questions
- The passing score: 675 (on scale of 100-900)
- Languages: English
- Time Duration: 90 minutes
- Format: Multiple choice and performance-based
CompTIA DA0-001 Exam Syllabus Topics:
| Topic | Details |
|---|---|
Data Concepts and Environments - 15% | |
| Identify basic concepts of data schemas and dimensions. | - Databases
- Data mart/data warehousing/data lake
- Schema concepts
- Slowly changing dimensions
|
| Compare and contrast different data types. | - Date - Numeric - Alphanumeric - Currency - Text - Discrete vs. continuous - Categorical/dimension - Images - Audio - Video |
| Compare and contrast common data structures and file formats. | - Structures
- Data file formats
|
Data Mining - 25% | |
| Explain data acquisition concepts. | - Integration
- Data collection methods
|
| Identify common reasons for cleansing and profiling datasets. | - Duplicate data - Redundant data - Missing values - Invalid data - Non-parametric data - Data outliers - Specification mismatch - Data type validation |
| Given a scenario, execute data manipulation techniques. | - Recoding data
- Derived variables |
| Explain common techniques for data manipulation and query optimization. | - Data manipulation
- Query optimization
|
Data Analysis - 23% | |
| Given a scenario, apply the appropriate descriptive statistical methods. | - Measures of central tendency Mean Median Mode - Measures of dispersion
- Frequencies/percentages |
| Explain the purpose of inferential statistical methods. | - t-tests - Z-score - p-values - Chi-squared - Hypothesis testing
- Simple linear regression |
| Summarize types of analysis and key analysis techniques. | - Process to determine type of analysis
- Type of analysis
|
| Identify common data analytics tools. | - Structured Query Language (SQL) - Python - Microsoft Excel - R - Rapid mining - IBM Cognos - IBM SPSS Modeler - IBM SPSS - SAS - Tableau - Power BI - Qlik - MicroStrategy - BusinessObjects - Apex - Dataroma - Domo - AWS QuickSight - Stata - Minitab |
Visualization - 23% | |
| Given a scenario, translate business requirements to form a report. | - Data content - Filtering - Views - Date range - Frequency - Audience for report
|
| Given a scenario, use appropriate design components for reports and dashboards. | - Report cover page
- Design elements
- Documentation elements
|
| Given a scenario, use appropriate methods for dashboard development. | - Dashboard considerations
- Development process
Delivery considerations
|
| Given a scenario, apply the appropriate type of visualization. | - Line chart - Pie chart - Bubble chart - Scatter plot - Bar chart - Histogram - Waterfall - Heat map - Geographic map - Tree map - Stacked chart - Infographic - Word cloud |
| Compare and contrast types of reports. | - Static vs. dynamic reports
- Ad-hoc/one-time report
- Tactical/research report |
Data Governance, Quality, and Controls - 14% | |
| Summarize important data governance concepts. | - Access requirements
- Security requirements
- Storage environment requirements
- Use requirements
- Entity relationship requirements
- Data classification
- Jurisdiction requirements
- Data breach reporting
|
| Given a scenario, apply data quality control concepts. | - Circumstances to check for quality
- Automated validation
- Data quality dimensions
- Data quality rule and metrics
- Methods to validate quality
|
| Explain master data management (MDM) concepts. | - Processes
- Circumstances for MDM
|
