Data - Tq topic answers

Q1.Which scenario best illustrates the implementation of data governance?

Q2.How does Accenture help companies harness the power of data to achieve optimal business outcomes?

A. They help companies think about and define the “art of the possible” with their data assets
B. They pre. oe an interactive front end for a database solution that changes the data culture.
C. They utilize only their Data and Analytics Platform to enable companies.
D. They develop data governance frameworks that go on to form the basis of the company data analytics stratergy

Q3.What is the main difference between structured and unstructured data ?

A. Structured data is often stored in data lakes, while unstructured data is stared in data warehouses.
B. structured data is easier to search and analyze, while unstructured data requires more effort to process.
C. Structured data comes in formats like audio and video, while unstructured data is found tabular and Excel data formats

Q4.What does the DIKW pyramid represent?

Q5.What does data warehousing allow organizations to achieve?

Q6.How do Machine Learning and Artificial Intelligence (Al) technologies help businesses use their enterprise data effectively?

Q7.What is an advantage of storing data in a Data Lake, without applying a specific schema to it initially?

A. It makes working with the data faster as data lakes are more efficient
B. It allows more flexibility to use the data in various innovative ways.
C. It saves both developer time and company money by never having to design a schema.

Q8.How do data platforms help businesses with their data governance needs?

Q9.Which technologies combine to make data a critical organizational asset?

Q10.Why is it important for companies to invest in building a complete Data and Analytics Platform?

A. It creates awareness of what data can do to improve business processes.
B. It stores iarge amounts of data that are easily retrievable for future business growth
C. It produces cultural support and alignment, a growth mindset, and new ideas and priorities to improve business processes

Q11.How does the implementation of an enterprise-wide Data and Analytics strategy help organizations?

Q12.A mobile application delivers market predictions based on stock data from the stock market data platform. Knowing that the data platform can stream its data, how should the application interact with the data platform to deliver predictions in real-time?

A. interact programmatically, crawling the data platform interface
B. connect and export the latest data weekly, as daily metrics can be inferred from past computed trends
C. interact programmatically through the data platform API (application programming Interface)

Q13.A health care provider approaches Accenture to help them increase then efficiency through an advanced data science platform. What is the first step Accenture could take?

A. formulate an enterprise analytics strategy assessment
B. build a comprehensive data lake using archived data
C. create comprehensive documentation of the process
D. train a client to independently manage their data

Q14.What is an advantage of using a fully integrated Cloud based data
analytics platform?

Q15.How do Machine Learning and Artificial Intelligence (Al) technologies help businesses use their enterprise data effectively?

A. They allow technologies to operate without data.
B. They capture all the data in real-time or near real-time.
C. they curate data quickly tor multiple business scenarios.

Q16.Why is Data-Driven Analytics of interest to companies?

A. It helps Data Analysts shape an analytics problem from a business problem.
B. It gives companies the ability to make informed decisions.
C. It allows companies to make definitive predictions about the future

Q17.Which example illustrates the idea of “collecting data”?

A. sorting all product reviews from an online store into specific categories
B. promoting products from an online store based on customer sentiment collected from product reviews
C. mining all product reviews from an online store for further processing

Q18.What happens when a dataset includes records with missing data?

Q19.Which comprehensive approach should companies follow to trust
and use data as a critical differentiator?

A. Create awareness on the importance of data in business among employees.
B. Develop clear data governance policies with a strong data strategy.
C. Identify strong strategies to consume data in ways that were not possible before.

Q20.How docs Accenture help companies turn less meaningful data collection into an effective data strategy?

A. by recommending the tools and platforms to drive the data analytics, governance and process
B. by increasing their confidence when talking about data with teams and introducing new data principles and mindsets
C. by offering data insight when curating courses on data and supplying
D. by developing and generating cultural support and alignment and a growth mindset

Q21.Where doos change management play a major role in transforming a client business into a data-driven, intelligent enterprise?

A. data and analytics strategy
B. data culture and literacy
C. data and analytics platform
D. data governance and managemant

Q22.What is the most important action that organizations should take
with the data they capture about their customers?

Q23.What differentiates data from information?

A. information is contoxtualized data Generic
B. data and information are both contextualized
C. data is contextualized, information is generic
D. information and data are both generic

Q24.How does Accenture help companies turn less meaningful data collection into an effective data strategy?

Q25.What role does the Data, Information, Knowledge, Wisdom (DIKW)
pyramid play in managing a data-driven project?

A. It serves as a framework to guide the processing of unstructured data and subsequent value extraction.
B. It serves as a linear model to show the various ways of extracting insights and value from all types of data.
C. It serves as a framework to guide technical teams on which methods to use to extract value from data.
D. It serves as a circular model to understand the free flow of data throughout an organization.

Q26.How should a common data source like social media comments be categorized?

Q27.A client approaches Accenture for a solution to collate the large amounts of data it has collected over the years from various sources.
Which solution would help the client pool their data together?

A. a DevOps solution
B. an Agile solution
C. a machine learning solution
D. a cloud analytics solution

Q28.The Department Manager researches new data platforms for the company and requests a list of essential features. Which essential
features should the list include?

A. decentralization, programmatic access, strong security
B. dashboards, decentralization, strong security
C. centralization, dashboards, programmatic access
D. strong security, centralization, programmatic access

Q29.How does a fully integrated Data and Analytics Platform enable organizations to convert data into consumable information and insight?

A. by leveraging historical data and focusing on known insights to establish a business context
B. by creating analytics reports and building Machine Learning models to refine predictive capabilities
C. by archiving all the captured data and retrieving it when needed for business purposes
D. by focusing on the content of non-numerical data like text and images to identify trends

Q30.What is an advantage of using a fully integrated Cloud-based data analytics platform?

A. It eliminates the client’s responsibility for security by transferring this function to the Cloud Vendor.
B. It provides the computing power needed to convert raw data into meaningful information for decision makers.
C. It improves the quality of data and the data literacy of all employees.
D. It ensures the accurate and timely collection of data at the source

Q31.Accenture is involved in the transformation of an organization into a data-driven and intelligent enterprise. Which ability does Accenture need to ensure the organization has to become a successful business?

A. to gather, re-organize, and store different categories of all raw data for easy and faster retrieval
B.to store large amounts of data including raw and unorganized facts
C.to collect exabytes and zettabytes of data from different sources
D.to capture, curate, and consume the right data sets

Q32.A department manager is planning a presentation on how data platforms work but needs to simplify the language for the audience
to better understand the main steps. Which three steps most accurately describe the manager’s approach?

Q33.What does data warehousing allow organizations to achieve?

A. allows for the reduction of some of an organization’s day-to-day server resources
B. allows organizations to collect only the current day’s data from their various databases
C. allows for analytics and reporting across the entire organization
D. allows organizations to replace all their day-to-day databases with operational systems

Q34.What is the key objective of data analysis?

A.to decide how to capture the right type of data in real time
B.to develop an enterprise-wide data strategy and data governance policies
C.to find meaning in data and use it to make informed decisions
D.to generate cultural support and alignment across an organization

35.How should a company adopt a data-driven culture that will stick?

A. Maximize the budget spent on the implementation of new data tools and platforms.
B. Use change management to transform how the company thinks about data.
C. Offload data analytics functions to highly experienced vendors.
D. Centralize all data operations within a single, specialized data team.

36.Accenture is helping a large retailer transform their online sales and services. The Data Analyst audits the client’s customer journey and maps out the kind of data they need to collect at each touch point.
How does this help the client achieve their objectives?

A. by identifying products that are poor sellers and removing them from the inventory
B. by shifting the focus away from the customer and towards new products or services
C. by increasing their customer knowledge and leveraging that information to improve customer experience
D. by updating their sales platform and adding new features

37.Everyone within a company needs to be aware of what data can do to improve business processes and how to make it happen. Which
concept is referred to in the statement above?