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DEGO Final
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Questions in this quiz (45)
1“Analytical Systems are designed for heavy treatment of data, no need for a rapid response time, data is not normalized, and many times must be cleaned and aggregated.”
- ATrue
- BFalse
2“Metadata does not give the user any particular advantage.”
- ATrue
- BFalse
3“Data Mining's goal is to discover new knowledge hidden in large masses of data.”
- ATrue
- BFalse
4“Artificial Intelligence is the branch of computer sciences that emphasizes the development of intelligence machines, thinking and working like humans.”
- ATrue
- BFalse
5“In Data Mining, Descriptive Models allow to increase the knowledge of the data.”
- ATrue
- BFalse
6“Data Lineage uncovers the life cycle of data; it aims to show the complete data flow, from start to finish.”
- ATrue
- BFalse
7“A Data Lake is a repository for structured and filtered data that has already been processed for a specific purpose.”
- ATrue
- BFalse
8“In GDPR, Controller or Subcontractor, means a natural or legal person, public authority, agency or other body which processes personal data on behalf of the Processor.”
- ATrue
- BFalse
9“In GDPR, Data Minimization principle refers that personal data should be collected only if strictly necessary, and if its accuracy is high.”
- ATrue
- BFalse
10“In GDPR, In the exercise of data subject’s rights, Controller has one month to fulfil request, that can extend by two further months (with explanation for the reasons of delay).”
- ATrue
- BFalse
11In GDPR, who is the owner of personal data?
- AAll the clients of a company.
- BOnly natural persons.
- COnly companies.
- DAll the above.
12In GDPR, which of the following is personal data?
- AName, Address and Zip Code.
- BIP Address and Email.
- CSocial security number.
- DAll of the above.
13Failure to comply with the GDPR may result in:
- AFines up to double of the annual revenue of the organization.
- BFines up to 20 million euros or 4% of global turnover of the organization.
- CFines of 20% of the annual global turnover of the organization.
- DFines up to 20 million euros and 2% of annual turnover of the organization.
14In GDPR, is Anonymized data personal data:
- AYes, because with authorization we can identify the data subject.
- BDepends on the Anonymization method.
- CNo, because the link between personal data and other data does not exist
anymore. - DNone of the above.
15In GDPR, what is a Controller?
- AIs the entity who carries out operations of processing personal data on behalf of the Data Processor.
- BIs the entity who monitors the application of the GDPR in an organization.
- CIs the entity who determines the purposes and the means to proceed
with the processing of personal data. - DNone of the above.
16What is Pseudonymization of Personal Data?
- AThe processing of personal data in such a way that they can no longer be assigned to a specific data subject.
- BIs the Masking of personal data.
- Ca) and b).
- DIs the encoding of messages so only those authorized can read them.
17What is the Lawfulness of Treatment?
- AIt is the consent of the data subject.
- BIt is the legal basis for processing activities on personal data.
- CIt is one of the four situations that allows the controller for processing personal data.
- DIt is one of the 8 rights that data subjects have.
18What are documented instructions from the controller:
- AIs the reinforcement of the contractual relations between controller and
processor to comply with GDPR. - BIt is the compliance with GDPR for data suppliers.
- CIs the reason for appointing a DPO.
- DNone of the above.
- AIs the reinforcement of the contractual relations between controller and
19What is the Registration of Treatment Activities?
- AIt is a list of personal data that is processed by the processor to be delivered to the Data Protection Authority.
- BIt is the registration of all profiling activities on personal data.
- CIt is a record of all data processing activities under the responsibility of
controller. - DNone of the above.
20What is a DPIA?
- AIs a data profiling impact assessment on personal data necessary for security and compliance.
- BIt is an assessment of the impact of processing personal data when is
likely to result in a high risk to the rights and freedoms of natural persons. - CIt is as assessment necessary for processing on a large scale of categories of data.
- DNone of the above.
21“Consider this situation about GDPR: I have an insurance policy with Secure Co, company and gave consent for marketing activities regarding related products. Today, I received a phone call from them, introducing a partnership with Secure Co and a Car Retailer with great discounts in used cars.
Is this situation normal?”- AYes, because I already gave consent.
- BYes, because they have a partnership.
- CNo, because I only gave consent for related products.
- DNo, because it’s not Christmas time season.
22“Consider this situation about GDPR: Controller YMCA processes personal data about its customers. The purpose of the processing is to fulfil a contract, i.e., to be able to deliver goods to the correct address and obtain payment. The personal data stored is the purchase history, name, address, e-mail address and telephone number. The controller is going to buy a CRM product that gathers all the customer data about sales, marketing, and customer service in one place. The product gives the opportunity of storing all phone calls, activities, documents, emails, and marketing campaigns to get a 360-degree view of the customer.
Can YMCA start be using the new personal data collected in the CRM system?”- ANo, because data subject did not give consent for that.
- BNo, because YMCA does not have a lawfulness base for processing that data.
- CNo, because YMCA is not following data minimization principle.
- DAll of the above.
23“Consider the image below and select the right answer to question.”
- ANo, because consent must be specific and unambiguous.
- BNo, because you have different processing activities in only one consent.
- Ca) and b).
- DNone of the above.
24Consider the image below. Witch one is compliant with GDPR? Left or right image?
- ABoth are compliant.
- BRight image.
- CLeft image.
- DNone of the above.
25“Consider the image below and select the right answer to question.”
- APre-Checked boxes are not allowed.
- BDoes not comply with data minimization principle.
- Ca) and b).
- DNone of the above.
26What’s a Database?
- AIt’s a repository that stores real-time information about any part of your
business. - BIt’s like a data warehouse but with more data.
- COptions a) and b).
- DNone of the above.
- AIt’s a repository that stores real-time information about any part of your
27In a Data Ecosystem, the “Infrastructure” is composed of what?
- AApplications and software, that act upon the data and make it usable for business users.
- BMainframes, servers, storage, data center, web access and
communications. - COptions a) and b).
- DNone of the above.
28What’s Dark Data?
- Aa) Dark Data is large portion of the collected data that is never analyzed.
- Bb) Dark Data represents unstructured and unclassified information.
- Cc) Dark Data is structured information that was not loaded into a database.
- Dd) Options a) and b).
29What ́s Operational Data?
- AData that is produced by your organization’s operations.
- BIt is on-line data from the company’s operations daily basis.
- CIt is data that comes from the ERP systems of the company, mainframe, or client-server applications.
- DAll of the above.
30What’s Analytical Data?
- AIt is data that is used in OLTP systems.
- BIt is data used to assess data quality and to make corrections on client informations.
- CData to be processed with a high volume without minimal delay, they are also called OLTP data.
- DNone of the above.
31What is the difference between a Data Warehouse and a Data Mart?
- AA Data Warehouse (DW) is a data repository for cleaning data and a Data Mart is data repository for the aggregation of data.
- BA Data Warehouse (DW) is a data repository organized around the main business areas of an organization and a Data Mart is a subject oriented data repository.
- CA Data Warehouse (DW) is a data repository for data analysts, instead of a Data Mart that is for business users.
- DAll of the above.
32In a Data Warehouse environment, what is the need for ETL tools?
- AETL allows data migration between operating systems and analytical systems.
- BETL is for extract, transform and load information from operational data sources to analytical data sources.
- CETL address data homogenization, cleaning and of the respective upload to the Data Warehouse environment.
- DAll the above.
33In Data Mining, what characteristics have Predictive Models?
- AAllow us to predict the value of one or more variables.
- Ba) and c).
- CHelp us on forecasting and simulating.
- DNone of the above.
34What is Big Data?
- ABig Data is a great amount of structured data aggregated in one large repository.
- BBig Data is a great amount of data, with a fast rate of data origination,
complex format and from a variety of different types of data sources. - CBig Data is a data repository, just like a Data Warehouse or a Data Mart.
- DAll the above.
35What are the 3 characteristics of Big Data?
- AVolume, Speed, Complexity.
- BVolume, Velocity, Variety.
- CVolume, Variability, Sources.
- DVolume, Variability, Unstructured.
36In Machine Learning, what are the Forms of Learning?
- AClassification, Regression and Cluster Learning.
- BClassification, Regression and Perspective Learning.
- CSupervised, Unsupervised and Reinforcement Learning.
- DNone of the above.
37What is Data Governance?
- AConsists of the management of an organization's information assets, including rules, policies, procedures, functions, and responsibilities.
- BIs the process of managing the availability, usability, integrity, and security of data in enterprise systems.
- CIt’s a guidance that ensures that data is accurate, consistent, complete, available, and secure and encompasses processes, organization and technology.
- DAll the above.
38What are the main benefits of Data Governance?
- AQuality of data, consistent data definition, data as an enterprise asset.
- BBetter decision making, accountability for data use, quality of master data and metadata.
- Ca) and b).
- DNone of the above.
39What is a Chief Data Officer?
- AIt’s a data stakeholder, normally reporting to the CFO.
- BIt’s the individual that defines and implements data governance policies, standards and KPI’s.
- CIt’s a C-level executive that facilitates and supports Data Governance and Data Stewardship activities.
- DNone of the above.
40In Data Governance, what are the top three business initiatives that should drive a data governance program?
- ABusiness Intelligence, Data Privacy, Compliance.
- BBusiness Campaigns, Business Intelligence, Business Transformation.
- CData Privacy, Cybersecurity, Risk Management.
- DNone of the above.
41What are the initial steps in the implementation of a Data Governance program?
- AIdentify data stakeholders and key business users.
- BVision, Objectives and identify data stakeholders.
- CVision, Mission, Objectives and Planning.
- DNone of the above.
42About Data Quality, what are the mains common reasons for poor data quality and inconsistences in data systems?
- AHuman error when updating systems.
- BBad systems design and implementation.
- CData introduction, processing, migration and changing needs.
- DNone of the above.
43What are the dimensions of Data Quality?
- AAccuracy, Consistency, Timeliness, Validity, Uniqueness.
- BAccuracy, Completeness, Consistency, Timeliness, Volatility, Uniqueness.
- CAccuracy, Completeness, Consistency, Timeliness, Validity, Uniqueness.
- DNone of the above.
44About Data Quality dimensions, what’s the meaning of “Uniqueness”?
- ARefers to information that doesn’t conform to a specific format or doesn’t follow business rules.
- BIt’s about your information is available right when it’s needed.
- CMeans that there’s only one instance of it appearing in a database.
- DNone of the above.
45What are the mains differences about Data Profiling and Data Cleaning?
- AData Profiling is to clean and fix detected problems and Data Cleaning is used to assess the quality of data in our database.
- BData Profiling is used to assess the quality of data in our database, and Data Cleaning to clean and fix detected problems.
- CThere are no differences.
- DNone of the above.
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- Quiz on DEGO Final , created by Luisa Reichenbach on 18/05/2020.
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- Luisa Reichenbach
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- English
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