Quiz
MC3
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Fragen in diesem Quiz (60)
1Why is a performance management system superior to a performance measurement system?
- Abecause performance measurement systems are only in their infancy
- Bbecause measurement automatically leads to problem solution
- Cbecause performance management systems cost more
- Dbecause measurement alone has little use without action
2Operational or transaction databases are product oriented, handling transactions that update the database. In contrast, data warehouses are
- Asubject-oriented and nonvolatile.
- Bproduct-oriented and nonvolatile.
- Cproduct-oriented and volatile.
- Dsubject-oriented and volatile.
3Which kind of data warehouse is created separately from the enterprise data warehouse by a department and not reliant on it for updates?
- Asectional data mart
- Bpublic data mart
- Cindependent data mart
- Dvolatile data mart
4Oper marts are created when operational data needs to be analyzed
- Alinearly.
- Bin a dashboard.
- Cunidimensionally.
- Dmultidimensionally.
5A Web client that connects to a Web server, which is in turn connected to a BI application server, is reflective of a
- Aone-tier architecture.
- Btwo-tier architecture.
- Cthree-tier architecture.
- Dfour-tier architecture.
6Which of the following BEST enables a data warehouse to handle complex queries and scale up to handle many more requests?
- Ause of the Web by users as a front-end
- Bparallel processing
- CMicrosoft Windows
- Da larger IT staff
7Which data warehouse architecture uses metadata from existing data warehouses to create a hybrid logical data warehouse comprised of data from the other warehouses?
- Aindependent data marts architecture
- Bcentralized data warehouse architecture
- Chub-and-spoke data warehouse architecture
- Dfederated architecture
8Which data warehouse architecture uses a normalized relational warehouse that feeds multiple data marts?
- Aindependent data marts architecture
- Bcentralized data warehouse architecture
- Chub-and-spoke data warehouse architecture
- Dfederated architecture
9Which approach to data warehouse integration focuses more on sharing process functionality than data across systems?
- Aextraction, transformation, and load
- Benterprise application integration
- Centerprise information integration
- Denterprise function integration
10________ is an evolving tool space that promises real-time data integration from a variety of sources, such as relational databases, Web services, and multidimensional databases.
- AEnterprise information integration (EII)
- BEnterprise application integration (EAI)
- CExtraction, transformation, and load (ETL)
- DNone of these
11In which stage of extraction, transformation, and load (ETL) into a data warehouse are anomalies detected and corrected?
- Atransformation
- Bextraction
- Cload
- Dcleanse
12Data warehouses provide direct and indirect benefits to organizations. Which of the following is an indirect benefit of data warehouses?
- Abetter and more timely information
- Bextensive new analyses performed by users
- Csimplified access to data
- Dimproved customer service
13All of the following are benefits of hosted data warehouses EXCEPT
- Asmaller upfront investment.
- Bbetter quality hardware.
- Cgreater control of data.
- Dfrees up in-house systems.
14When representing data in a data warehouse, using several dimension tables that are each connected only to a fact table means you are using which warehouse structure?
- Astar schema
- Bsnowflake schema
- Crelational schema
- Ddimensional schema
15When querying a dimensional database, a user went from summarized data to its underlying details. The function that served this purpose is
- Adice.
- Bslice.
- Croll-up.
- Ddrill down.
16What is Six Sigma?
- Aa letter in the Greek alphabet that statisticians use to measure process variability
- Ba methodology aimed at reducing the number of defects in a business process
- Ca methodology aimed at reducing the amount of variability in a business process
- Da methodology aimed at measuring the amount of variability in a business process
17Real-time data warehousing can be used to support the highest level of decision making sophistication and power. The major feature that enables this in relation to handling the data is
- Acountry of (data) origin.
- Bnature of the data.
- Cspeed of data transfer.
- Dsource of the data.
18A large storage location that can hold vast quantities of data (mostly unstructured) in its native/raw format for future/potential analytics consumption is referred to as a(n)
- Aextended ASP.
- Bdata cloud.
- Cdata lake.
- Drelational database.
19How does the use of cloud computing affect the scalability of a data warehouse?
- ACloud computing vendors bring as much hardware as needed to users' offices.
- BHardware resources are dynamically allocated as use increases.
- CCloud vendors are mostly based overseas where the cost of labor is low.
- DCloud computing has little effect on a data warehouse's scalability.
20All of the following are true about in-database processing technology EXCEPT
- Ait pushes the algorithms to where the data is.
- Bit makes the response to queries much faster than conventional databases.
- Cit is often used for apps like credit card fraud detection and investment risk management.
- Dit is the same as in-memory storage technology.
21In the Influence Health case study, what was the goal of the system?
- Alocating clinic patients
- Bunderstanding follow-up care
- Cdecreasing operational costs
- Dincreasing service use
22Understanding customers better has helped Amazon and others become more successful. The understanding comes primarily from
- Acollecting data about customers and transactions.
- Bdeveloping a philosophy that is data analytics-centric.
- Canalyzing the vast data amounts routinely collected.
- Dasking the customers what they want.
23All of the following statements about data mining are true EXCEPT
- Athe process aspect means that data mining should be a one-step process to results.
- Bthe novel aspect means that previously unknown patterns are discovered.
- Cthe potentially useful aspect means that results should lead to some business benefit.
- Dthe valid aspect means that the discovered patterns should hold true on new data.
24What is the main reason parallel processing is sometimes used for data mining?
- Abecause the hardware exists in most organizations, and it is available to use
- Bbecause most of the algorithms used for data mining require it
- Cbecause of the massive data amounts and search efforts involved
- Dbecause any strategic application requires parallel processing
25The data field "ethnic group" can be best described as
- Anominal data.
- Binterval data.
- Cordinal data.
- Dratio data.
26 A data mining study is specific to addressing a well-defined business task, and different business tasks require
- Ageneral organizational data.
- Bgeneral industry data.
- Cgeneral economic data.
- Ddifferent sets of data.
27Which broad area of data mining applications analyzes data, forming rules to distinguish between defined classes?
- Aassociations
- Bvisualization
- Cclassification
- Dclustering
28Which broad area of data mining applications partitions a collection of objects into natural groupings with similar features?
- Aassociations
- Bvisualization
- Cclassification
- Dclustering
29Clustering partitions a collection of things into segments whose members share
- Asimilar characteristics.
- Bdissimilar characteristics.
- Csimilar collection methods.
- Ddissimilar collection methods.
30Identifying and preventing incorrect claim payments and fraudulent activities falls under which type of data mining applications?
- Ainsurance
- Bretailing and logistics
- Ccustomer relationship management
- Dcomputer hardware and software
31All of the following statements about data mining are true EXCEPT:
- AThe term is relatively new.
- BIts techniques have their roots in traditional statistical analysis and artificial intelligence.
- CThe ideas behind it are relatively new.
- DIntense, global competition make its application more important.
32Which data mining process/methodology is thought to be the most comprehensive, according to kdnuggets.com rankings?
- ASEMMA
- Bproprietary organizational methodologies
- CKDD Process
- DCRISP-DM
33Prediction problems where the variables have numeric values are most accurately defined as
- Aclassifications.
- Bregressions.
- Cassociations.
- Dcomputations.
34What does the robustness of a data mining method refer to?
- Aits ability to predict the outcome of a previously unknown data set accurately
- Bits speed of computation and computational costs in using the mode
- Cits ability to construct a prediction model efficiently given a large amount of data
- Dits ability to overcome noisy data to make somewhat accurate predictions
35What does the scalability of a data mining method refer to?
- Aits ability to predict the outcome of a previously unknown data set accurately
- Bits speed of computation and computational costs in using the mode
- Cits ability to construct a prediction model efficiently given a large amount of data
- Dits ability to overcome noisy data to make somewhat accurate predictions
36In estimating the accuracy of data mining (or other) classification models, the true positive rate is
- Athe ratio of correctly classified positives divided by the total positive count.
- Bthe ratio of correctly classified negatives divided by the total negative count.
- Cthe ratio of correctly classified positives divided by the sum of correctly classified positives and incorrectly classified positives.
- Dthe ratio of correctly classified positives divided by the sum of correctly classified positives and incorrectly classified negatives.
37In data mining, finding an affinity of two products to be commonly together in a shopping cart is known as
- Aassociation rule mining.
- Bcluster analysis.
- Cdecision trees.
- Dartificial neural networks.
38Third party providers of publicly available data sets protect the anonymity of the individuals in the data set primarily by
- Aasking data users to use the data ethically.
- Bleaving in identifiers (e.g., name), but changing other variables.
- Cremoving identifiers such as names and social security numbers.
- Dletting individuals in the data know their data is being accessed.
39In the Target case study, why did Target send a teen maternity ads?
- ATarget's analytic model confused her with an older woman with a similar name.
- BTarget was sending ads to all women in a particular neighborhood.
- CTarget's analytic model suggested she was pregnant based on her buying habits.
- DTarget was using a special promotion that targeted all teens in her geographical area.
40Which of the following is a data mining myth?
- AData mining is a multistep process that requires deliberate, proactive design and use.
- BData mining requires a separate, dedicated database.
- CThe current state-of-the-art is ready to go for almost any business.
- DNewer Web-based tools enable managers of all educational levels to do data mining.
41In the opening vignette, the architectural system that supported Watson used all the following elements EXCEPT
- Amassive parallelism to enable simultaneous consideration of multiple hypotheses.
- Ban underlying confidence subsystem that ranks and integrates answers.
- Ca core engine that could operate seamlessly in another domain without changes.
- Dintegration of shallow and deep knowledge.
42In text mining, tokenizing is the process of
- Acategorizing a block of text in a sentence.
- Breducing multiple words to their base or root.
- Ctransforming the term-by-document matrix to a manageable size.
- Dcreating new branches or stems of recorded paragraphs.
43All of the following are challenges associated with natural language processing EXCEPT
- Adividing up a text into individual words in English.
- Bunderstanding the context in which something is said.
- Cdistinguishing between words that have more than one meaning.
- Drecognizing typographical or grammatical errors in texts.
44Natural language processing (NLP) is associated with which of the following areas?
- Atext mining
- Bartificial intelligence
- Ccomputational linguistics
- Dall of these
45In the research literature case study, the researchers analyzing academic papers extracted information from which source?
- Athe paper abstract
- Bthe paper keywords
- Cthe main body of the paper
- Dthe paper references
46 In sentiment analysis, which of the following is an implicit opinion?
- AThe hotel we stayed in was terrible.
- BThe customer service I got for my TV was laughable.
- CThe cruise we went on last summer was a disaster.
- DOur new mayor is great for the city.
47In the Wimbledon case study, the tournament used data for each match in real time to highlight
- Awinners and losers.
- Bplayer histories.
- Csignificant events.
- Dadvertiser content.
48What do voice of the market (VOM) applications of sentiment analysis do?
- AThey examine customer sentiment at the aggregate level.
- BThey examine employee sentiment in the organization.
- CThey examine the stock market for trends.
- DThey examine the "market of ideas" in politics.
49Sentiment analysis projects require a lexicon for use. If a project in English is undertaken, you must generally make sure to
- Ause only the single, approved English lexicon.
- Buse any general English lexicon.
- Cuse an English lexicon appropriate to the project at your discretion.
- Dcreate an English lexicon for the project.
50In text analysis, what is a lexicon?
- Aa catalog of words, their synonyms, and their meanings
- Ba catalog of customers, their words, and phrases
- Ca catalog of letters, words, phrases, and sentences
- Da catalog of customers, products, words, and phrases
51What types of documents are BEST suited to semantic labeling and aggregation to determine sentiment orientation?
- Amedium- to large-sized documents
- Bsmall- to medium-sized documents
- Clarge-sized documents
- Dcollections of documents
52What does Web content mining involve?
- Aanalyzing the universal resource locator in Web pages
- Banalyzing the unstructured content of Web pages
- Canalyzing the pattern of visits to a Web site
- Danalyzing the PageRank and other metadata of a Web page
53Breaking up a Web page into its components to identify worthy words/terms and indexing them using a set of rules is called
- Apreprocessing the documents.
- Bdocument analysis.
- Ccreating the term-by-document matrix.
- Dparsing the documents.
54Search engine optimization (SEO) is a means by which
- AWeb site developers can negotiate better deals for paid ads.
- BWeb site developers can increase Web site search rankings.
- CWeb site developers index their Web sites for search engines.
- DWeb site developers optimize the artistic features of their Web sites.
55What are the two main types of Web analytics?
- Aold-school and new-school Web analytics
- BBing and Google Web analytics
- Coff-site and on-site Web analytics
- Ddata-based and subjective Web analytics
56Web site usability may be rated poor if
- Athe average number of page views on your Web site is large.
- Bthe time spent on your Web site is long.
- CWeb site visitors download few of your offered PDFs and videos.
- Dusers fail to click on all pages equally.
57Understanding which keywords your users enter to reach your Web site through a search engine can help you understand
- Athe hardware your Web site is running on.
- Bthe type of Web browser being used by your Web site visitors.
- Cmost of your Web site visitors' wants and needs.
- Dhow well visitors understand your products.
58Which of the following statements about Web site conversion statistics is FALSE?
- AWeb site visitors can be classed as either new or returning.
- BVisitors who begin a purchase on most Web sites must complete it.
- CThe conversion rate is the number of people who take action divided by the number of visitors.
- DAnalyzing exit rates can tell you why visitors left your Web site.
59What is one major way in which Web-based social media differs from traditional publishing media?
- AMost Web-based media are operated by the government and large firms.
- BThey use different languages of publication.
- CThey have different costs to own and operate.
- DWeb-based media have a narrower range of quality.
60What does advanced analytics for social media do?
- AIt helps identify your followers.
- BIt identifies links between groups.
- CIt examines the content of online conversations.
- DIt identifies the biggest sources of influence online.
Informationen
- Beschreibung
- Information Technology Quiz am MC3, erstellt von Huy Anh Vo am 12/02/2019.
- Autor
- Huy Anh Vo
- Sprache
- English
- Aufrufe
- 7
- Schlagwörter
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