Exam Details
Exam Codes DA0-001
Launch Date
February 28, 2022
Exam Description The CompTIA Data+ exam will certify the successful candidate
has the knowledge and skills required to transform business requirements in
support of data-driven decisions through mining and manipulating data, applying
basic statistical methods, and analyzing complex datasets while adhering to
governance and quality standards throughout the entire data life cycle.
Number of Questions 90 questions
Type of Questions Multiple choice and performance-based
Length of Test 90 Minutes
Passing Score 675 (on scale of 100–900)
Recommended Experience CompTIA recommends 18–24 months of experience in
a report/business analyst job role, exposure to databases and analytical tools,
a basic understanding of statistics, and data visualization experience
Languages English
Retirement : Usually three years after launch
Testing Provider Pearson VUE
CompTIA Data+ is an early-career data analytics
certification for professionals tasked with developing and promoting data-driven
business decision-making.
Differentiate yourself with Data+
Better Analyze and Interpret Data
Mine data more effectively. Analyze with rigor. Avoid confounding results.
Communicate Insights
Highlight what’s important. Produce reports that persuade, not confuse. Help
the team make better data-driven decisions.
Demonstrate Competency
Make yourself a more valuable team member. Proof of data literacy means you’re
more employable and more upwardly mobile.
What you’ll learn with Data+
CompTIA Data+ is now available!
CompTIA Data+ gives you the confidence to bring data analysis to life.
As the importance for data analytics grows, more job roles are required to set
context and better communicate vital business intelligence. Collecting,
analyzing, and reporting on data can drive priorities and lead business
decision-making. CompTIA Data+ validates certified professionals have the skills
required to facilitate data-driven business decisions, including:
Mining data
Manipulating data
Visualizing and reporting data
Applying basic statistical methods
Analyzing complex datasets while adhering to governance and quality standards
throughout the entire data life cycle
What Skills Will You Learn?
HARDWARE
Data Concepts and Environments
Boost your knowledge in identifying basic concepts of data schemas and
dimensions while understanding the difference between common data structures and
file formats
WINDOWS OPERATING SYSTEMS
Data Mining
Grow your skills to explain data acquisition concepts, reasons for cleansing and
profiling datasets, executing data manipulation, and understanding techniques
for data manipulation
SOFTWARE TROUBLESHOOTING
Data Analysis
Gain the ability to apply the appropriate descriptive statistical methods and
summarize types of analysis and critical analysis techniques
NETWORKING
Visualization
Learn how to translate business requirements to form the appropriate
visualization in the form of a report or dashboard with the proper design
components
NETWORKING
Data Governance, Quality, & Controls
Increase your ability to summarize important data governance concepts and apply
data quality control concepts
Jobs that use CompTIA Data+
Data Analyst
Clinical Analyst
Reporting Analyst
Marketing Analyst
Business Data Analyst
Operations Analyst
Business Intelligence Analyst
Renewal
Keep your certification up to date with CompTIA’s Continuing Education (CE)
program. It’s designed to be a continued validation of your expertise and a tool
to expand your skillset. It’s also the ace up your sleeve when you’re ready to
take the next step in your career.
Get the most out of your certification
Information technology and Data & Analytics is an incredibly dynamic field,
creating new opportunities and challenges every day. Participating in our
Continuing Education program will enable you to stay current with new and
evolving solutions and remain a sought-after analyst expert.
The CompTIA Continuing Education program
Your CompTIA Data+ certification is good for three years from the date of
your exam. The CE program allows you to extend your certification in three-year
intervals through activities and training that relate to the content of your
certification.
It’s easy to renew
You can participate in a number of activities and training programs to renew
your CompTIA Data+ certification. Collect at least 20 Continuing Education Units
(CEUs) in three years and upload them to your certification account, and your
CompTIA Data+ certification will automatically renew.
Official CompTIA Content (OCC) has been designed by CompTIA for the CompTIA
certification candidate. Self-paced study guides are:
Reviewed extensively to ensure 100% coverage of the CompTIA exam objectives
Clearly written and structured
Flexible, so you can learn at any pace
Save With a Bundle
CompTIA Training bundles are a great way to continue your learning process in
every stage of your exam preparation. Complement a study guide with popular
training options. Two common ones are:
Basic Bundle – study on your own with the confidence of a free exam retake
Exam Prep Bundle – acquire knowledge and practice your new skills, with the
confidence of a free exam retake
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QUESTION 1
Which one of the clustering technique needs the merging approach?
A. Hierarchical
B. Partitioned
C. Both A and C
D. Naive Bayes
Answer: A
Explanation
C is the correct answer. The hierarchical type of clustering is one of the most commonly used methods to analyze social network data. In this type of clustering method, multiple nodes are compared with each other on the basis of their similarities and several larger groups’ are formed by merging the nodes or groups of nodes that have similar characteristics.
QUESTION 2
Your friend is an analyst for a sporting venue. She wants to distill post-event free-response survey data to inform leadership what respondents have on their minds. What type of visualization should she choose?
A. Dashboard
B. Pie chart
C. Word cloud
D. Bar chart
Answer: C
Explanation
C is the correct answer. Using a word cloud to signify the relative importance and commonality of words is the best approach.
QUESTION 3
Your friend is exploring how an athlete’s weight impacts their time in a 400-meter run. What should she use to determine whether weight has an impact on the time it takes to run 400 meters?
A. Z-test
B. t-test
C. Simple linear regression
D. Chi-square test
Answer: C
Explanation
C is the correct answer. Simple linear regression explores the relationship between two variables, in this case the weight of an athlete and their time in a 400-meter run. Both the Z-test and t-test infer attributes of the population using sample data. A Chi-square test explores the relationship between categorical variables.
QUESTION 4
Your friend is a financial analyst who wants to use Microsoft Excel to perform what-if analysis on data extracted from his corporate accounting system. To make the data extract easy to import, which of the following file formats should he specify?
A. JSON
B. YAML
C. XML
D. CSV
Answer: D
Explanation
A is the correct answer. A comma-separated values file can be imported natively into a Microsoft Excel spreadsheet. While Excel is capable of reading the other listed file formats, the data would not be processed into neatly organized rows and columns.
QUESTION 5
Your colleague wants to understand which product costs the least. What aggregate function can she use in her SQL query to get this answer?
A. AVG
B. MIN
C. MAX
D. COUNT
Answer: B
Explanation
C is the correct answer. COUNT will return the number of rows. MAX will return the largest value, while AVG will return the average of a numeric column. The MIN function returns the smallest value.
QUESTION 6
Which of the following statements is incorrect about the hierarchical clustering?
A. The choice of an appropriate metric can influence the shape of the cluster
B. In general, the splits and merges both are determined in a greedy manner
C. The hierarchical type of clustering is also known as the HCA
D. All of the above
Answer: D
Explanation
D is the correct answer. All following statements given in the above question are incorrect, so the correct answer is D. Hierarchical clustering, also known as hierarchical cluster analysis, is an algorithm that groups similar objects into groups called clusters.
QUESTION 7
Your friend want to understand how well his team measures up against corporate sales goals. What type of analysis will give him the perspective he needs?
A. Performance
B. Exploratory data
C. Link
D. Trend
A. Arbitration
B. Acquisition
C. Merger
D. Compliance
Answer: A
Explanation
B is the correct answer. Performance analysis assesses measurements against defined goals. Trend analysis compares data over time, exploratory data analysis uses descriptive statistics to summarize data and provide context for ongoing analysis, and link analysis explores connection patterns between data points.
QUESTION 8
Which of the following is not a situation that leads to pursuing master data management?
A. Arbitration
B. Acquisition
C. Merger
D. Compliance
Answer: A
Explanation
B is the correct answer. Acquisitions, mergers, and compliance activities are all situations that can cause an organization to pursue MDM. Arbitration is a process what settles organizational disputes and is not likely to lead to MDM activities.
QUESTION 9
Which of the following refers to the problem of finding abstracted patterns (or structures) in the unlabeled data?
A. Unsupervised learning
B. Supervised learning
C. Hybrid learning
D. Reinforcement learning
Answer: A
Explanation
B is the correct answer. Unsupervised learning is a type of machine learning algorithm that is generally used to find the hidden structured and patterns in the given unlabeled data.
QUESTION 10
What is a hypothesis?
A. A theory that underpins the study
B. A statistical method for calculating the extent to which the results could have happened by chance
C. A research question the results will answer
D. A statement that the researcher wants to test through the data collected in a study
Answer: D
Explanation
A is the correct answer. A hypothesis is a proposition that a researcher wishes to evaluate using data from a study. A hypothesis is a conclusion reached after considering evidence. This is the first step in any investigation, where the research questions are translated into a prediction. Variables, population, and the relationship between the variables are all included. A research hypothesis is a hypothesis that is tested to see if two or more variables have a relationship.
