Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25

Welcome to Pass4Success

- Free Preparation Discussions

Mail Us support@pass4success.com

Location PL

Home
Popular vendors
- - Salesforce
  - Microsoft
  - Nutanix
  - Cisco
  - Amazon
  - Google
  - CompTIA
  - SAP
  - VMware
  - Oracle
  - Fortinet
  - PeopleCert
  - Eccouncil
  - HP
  - Palo Alto Networks
  - Adobe
  - ISC2
  - ServiceNow
  - Dell EMC
  - CheckPoint
Discount Deals New
About
Contact
Login
Sign up

Home
CompTIA
DA0-001: CompTIA Data+ Certification Exam

CompTIA DA0-001 Exam

Name: CompTIA DA0-001 Exam
Brand: Pass4Success
SKU: DA0-001
Price: 69.00 USD
Availability: InStock
Rating: 4.8 (188 reviews)

Certification Provider: CompTIA

Exam Name: CompTIA Data+ Certification Exam

Number of questions in our database: 262

Exam Version: Apr. 13, 2024

DA0-001 Exam Official Topics:

Topic 1: Data Concepts and Environments/ Compare and contrast common data structures and file formats
Topic 2: Compare and contrast different data types/ Identify basic concepts of data schemas and dimensions
Topic 3: Explain common techniques for data manipulation and query optimization/ Identify common reasons for cleansing and profiling datasets
Topic 4: Identify common data analytics tools/ Explain the purpose of inferential statistical methods
Topic 5: Explain master data management (MDM) concepts/ Data Governance, Quality, and Controls
Topic 6: Given a scenario, execute data manipulation techniques/ Explain data acquisition concepts
Topic 7: Given a scenario, apply the appropriate type of visualization/ Given a scenario, use appropriate methods for dashboard development
Topic 8: Given a scenario, apply the appropriate descriptive statistical methods/ Summarize important data governance concepts
Topic 9: Given a scenario, translate business requirements to form a report/ Compare and contrast types of reports
Topic 10: Summarize types of analysis and key analysis techniques/ Application programming interface (API)/web services
Topic 11: Application programming interfaces (APIs)/ Determine data needs and sources to perform analysis
Topic 12: Use of descriptive statistics to determine observations/ Given a scenario, apply data quality control concepts

Disscuss CompTIA DA0-001 Topics, Questions or Ask Anything Related

Submit Cancel

Currently there are no comments in this discussion, be the first to comment!

Free CompTIA DA0-001 Exam Actual Questions

The questions for DA0-001 were last updated On Apr. 13, 2024

Question #1

Which of the following describes the use of a representative amount of data from a main repository?

AObservation

BDelta load

CWeb scraping

DSampling

Reveal Solution Hide Solution

Correct Answer: D

Question #2

Which of the following is a best practice when updating a legacy data source?

APlacing old data in new fields

BKeeping only the most recent data

CCreating a codebook to document field changes

DRemoving the data source from production

Reveal Solution Hide Solution

Correct Answer: C

Question #3

Which of the following describes the use of a representative amount of data from a main repository?

AObservation

BDelta load

CWeb scraping

DSampling

Reveal Solution Hide Solution

Correct Answer: D

Question #4

Joe. an analyst. tests the loading time on a dashboard he is preparing to go live and finds it is slower than he would like. Which of the following must occur to decrease the loading time?

ADeploy the dashboard to production.

BChange the field definitions.

CUpdate the dashboard subscribers.

DOptimize the dashboard.

Reveal Solution Hide Solution

Correct Answer: D

Optimizing the dashboard is the process of improving its performance and reducing its loading time by applying various techniques and best practices. Some of the common ways to optimize a dashboard are:

Reducing the size and complexity of the data model, such as removing unnecessary columns, aggregating data at the source, or using data compression techniques12

Leveraging caching strategies, such as setting appropriate cache refresh intervals or utilizing Power BI's built-in caching mechanisms, to minimize data retrieval delays2

Utilizing query folding, direct query, or live connection to enhance data processing efficiency and enable real-time data updates23

Optimizing DAX queries, such as avoiding nested calculations, using variables, or simplifying measures, to improve data calculation speed23

Reducing visualizations and calculations, such as using fewer or simpler charts, filters, or parameters, to speed up dashboard rendering12

Evaluating the impact of custom visuals on dashboard load time and avoiding or replacing those that are slow or inefficient2

Applying aggregation and summarization techniques, such as using extract filters, context filters, or level of detail expressions, to reduce the amount of data displayed on the dashboard1

Troubleshooting and resolving any issues that may cause slow dashboard load, such as network latency, server overload, or hardware limitations24

Question #5

A database consists of one fact table that is composed of multiple dimensions. Each dimension is represented by a denormalized table. This structure is an example of a:

Anon-relational schema.

Bgalaxy schema.

Csnowflake schema.

Dstar schema.

Reveal Solution Hide Solution

Correct Answer: D

A star schema is a type of database schema that consists of one fact table and multiple dimension tables. The fact table contains the measures or metrics of the business process, such as sales, orders, or transactions. The dimension tables contain the attributes or characteristics of the business entities, such as products, customers, or locations. The fact table is connected to the dimension tables by foreign keys that reference the primary keys of the dimension tables.The fact table is located at the center of the schema, while the dimension tables are located at the edges, forming a star-like shape1.

A star schema is an example of a denormalized schema, which means that the dimension tables are not normalized and may contain redundant or repeated data. This is done to improve the performance and simplicity of queries, as there are fewer joins and tables involved.A star schema is suitable for data warehouses and business intelligence applications that require fast and efficient data retrieval2.

Explore Other CompTIA Exams

Unlock all DA0-001 Exam Questions with Advanced Practice Test Features: