Was ist das eigentlich? Cyberrisiken verständlich erklärt

Es wird viel über Cyberrisiken gesprochen. Oftmals fehlt aber das grundsätzliche Verständnis, was Cyberrisiken überhaupt sind. Ohne diese zu verstehen, lässt sich aber auch kein Versicherungsschutz gestalten.

Beinahe alle Aktivitäten des täglichen Lebens können heute über das Internet abgewickelt werden. Online-Shopping und Online-Banking sind im Alltag angekommen. Diese Entwicklung trifft längst nicht nur auf Privatleute, sondern auch auf Firmen zu. Das Schlagwort Industrie 4.0 verheißt bereits eine zunehmende Vernetzung diverser geschäftlicher Vorgänge über das Internet.

Anbieter von Cyberversicherungen für kleinere und mittelständische Unternehmen (KMU) haben Versicherungen die Erfahrung gemacht, dass trotz dieser eindeutigen Entwicklung Cyberrisiken immer noch unterschätzt werden, da sie als etwas Abstraktes wahrgenommen werden. Für KMU kann dies ein gefährlicher Trugschluss sein, da gerade hier Cyberattacken existenzbedrohende Ausmaße annehmen können. So wird noch häufig gefragt, was Cyberrisiken eigentlich sind. Diese Frage ist mehr als verständlich, denn ohne (Cyber-)Risiken bestünde auch kein Bedarf für eine (Cyber-)Versicherung.

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Informatica PR000005 : Data Quality 9.x Developer Specialist exam Dumps

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Latest 2023 Updated Informatica Data Quality 9.x Developer Specialist Syllabus
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Exam Number : PR000005
Exam Name : Data Quality 9.x Developer Specialist
Vendor Name : Informatica
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PR000005 exam Format | PR000005 Course Contents | PR000005 Course Outline | PR000005 exam Syllabus | PR000005 exam Objectives

You may select from one or more response offerings to answer a question.

You will score the question correctly if your response accurately completes the statement or answers the question. Incorrect
distractors are given as possible correct answers so that those without the required skills and experience may wrongly select that choice.

A passing grade of 70% is needed to achieve recognition as an Informatica Certified Specialist (ICS) Data Quality Developer v9.x.

You are given 90 minutes to complete the exam. Test formats used in this exam are:

• Multiple Choice: Select one option that best answers the question or completes the statement

• Multiple Response: Select all that apply to best answer the question or complete the statement

• True/False: After studying the statement or questions select the best answer

Data Quality Developer 9.x, Specialist Certification

About the ICS Data Quality Developer exam and the Skill Set Inventory

This exam measures your competency as a member of a project implementation team. This involves having an in-depth knowledge of
each of the Data Quality processes from Profiling to Standardization, Matching and Consolidation. You need to be able to select and configure the appropriate Data Quality transformation for your requirements and build, debug and execute Data Quality mappings as well as integrate mappings into Power Center.

The skill set inventory is used to guide your preparation before taking the exam. It is an outline of the technical Topics and subject areas that are covered in each exam. The skill set inventory includes test domain weighting, test objectives and topical content. The Topics and concepts are included to clarify the test objectives.

Test takers will be tested on:

• Their ability to navigate through the Developer Tool

• Use of Project Collaboration techniques; shared Tags, Comments, Profiles, reference tables to share information with Analysts

• Using a variety of profiling methods to profile data

• The use of Analyst built profiles to develop mappings

• Build mappings and mapplets to cleanse and standardize data

• Perform Address Validation

• Identifying duplicate records in a dataset

• Automatically and manually consolidating duplicate records to create a master record

• Execution of mappings/mapplets in PowerCenter

• Deployment of Data Quality Mappings in an Excel spreadsheet (connect to Web Services)

Title % of Test

Informatica Overview 10%

Analyst Collaboration 10%

Profiling 15%

Standardization/Mapplets 10%

Address Validation 5%

Matching 10%

Consolidation and the DQA 10%

Integration with PowerCenter 5%

Object Import and Export 5%

DQ for Excel 5%

Parameters 5%

Content 10%

Test Topics

The exam will contain 70 questions comprised of Topics that span across the sections listed below. In order to ensure that you are prepared for the test, review the subtopics with each section.

Informatica Overview

• Describe the Informatica 9 architecture and set up
including the repositories required for installation

• Provide information on the Data Quality process and
dimensions of data quality

Analyst Collaboration

• Use and describe the functionality of the Analyst Tool including Scorecarding, Reference Table Management, Tags, Filters, Profiles and Comments

• Describe how Analysts and Developers can
collaborate on projects

• Describe the benefits of project collaboration to a
team

Profiling

• Perform and interpret column, rule, comparative and
mid-stream profiling

Standardization/Mapplets

• Be aware of where data standardization fits in the
DQ process

• Apply, configure and troubleshoot data
standardization transformations

• Differentiate between the various parsing techniques
available

• Recognize how reference tables are used in the
standardization process

Address Validation

• Verify the importance of Address Validation

• Configure the Address Validation transformation
including explaining each mode that is available and
what custom templates can be used for

• Interpret the AV outputs generated
Matching

• Develop and build match plans to identify duplicate
or related data

• Differentiate between the matching algorithms
available and explain how matching scores are

• Configure Identity Matching option for the match
transformation

• Explain populations, the identity match strategies that
are available and how they are used in Identity
Matching

Consolidation and the DQA

• Explain Automatic and Manual consolidation
techniques and configure the Transformations used
for automatic consolidation

• Use the Exception Transformation to generate and
populate the Bad Records and Duplicate Records
tables

• Troubleshoot any problems that may occur

• Generate a survivor record in the DQA

• Remove duplicates using DQA
Integration with Power Center

• Explain how to integrate IDQ mappings and
mapplets into PowerCenter Workflows including how
content is handled

Object Import and Export

• Define the difference between the Basic and
Advanced Import options available

• Explain Dependency conflict resolution and how it is
handled

• Describe how to Export a Project
DQ for Excel

• Describe the requirements for integration for Excel

• Define the techniques for creating mappings for DQ
for Excel

• Explain the Web service capabilities required for DQ
for Excel

• Provide an explanation on how to use the Informatica
ribbon in Excel

Parameters

• Explain what parameters are and why they are used
including what parameter functions are supported

• Identify which Transformations can use parameters

• Describe the process of exporting mappings with
parameters built in Content

• Explain what Content is, what is contained in the
Core Accelerator and why it is used.

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E& enterprise partners with Informatica to accelerate data modernisation and governance in UAE

E& enterprise today announced the formalisation of its partnership with Informatica, a globally recognised leader in data management.

Through this partnership, e& enterprise has proven its proficiency in implementing Informatica's cutting-edge Intelligent Data Management Cloud™ platform and solutions, resulting in substantial advantages for businesses.

The partnership aims to empower government entities and private corporations in the UAE by leveraging the power of data to enhance operational efficiency and drive digital transformation efforts.

Alberto Araque, CEO, e& enterprise IoT & AI, said: “This recognition is a significant milestone that is a true testimony to the expertise built within their teams in data, analytics and technology consulting. At e& enterprise, they have constantly strived to establish a robust data and Artificial Intelligence ecosystem to cater to their enterprise customers in the domains of data modernisation, advanced analytics, and the implementation of AI-enabled solutions.

This has also enabled their customers to trust their accredited teams, who work closely with a team of skilled and certified Informatica consultants, equipping them to tackle complex data integration challenges and deliver successful outcomes.”

The recognition reflects e& enterprise's commitment to providing exceptional services to its clients and demonstrates its ability to deliver innovative solutions using Informatica's products and technologies.

“Informatica is committed to driving data innovation to help businesses realise the transformative power of their data. They continue to invest heavily in the Middle East, as seen with their recent launch of the first Intelligent Data Management CloudTM in the region, reflecting their commitment to supporting local, scalable cloud-first data management services,” said Yasser Shawky, Vice President of Emerging Markets Sales (MEA) at Informatica. “Local partners like e& enterprise are essential in helping us realise this data-driven vision to turn chaotic data into a trusted resource, fueling actionable insights and business innovation.”

The collaboration combines Informatica's exceptional cloud data management solutions with e& enterprise's extensive industry knowledge, specialised solutions, and expertise in systems integration and services, enabling organisations in the UAE to achieve data-driven digital transformation outcomes.

Data modernisation is rapidly becoming an essential driver for businesses across industries. It facilitates seamless access, processing, and analysis of vast amounts of data, enabling organisations to make data-driven decisions. Data modernisation boosts operational efficiency, enhances customer experiences, informs business strategy, and can potentially lead to revenue growth.

The partnership brings together Informatica's top-notch data management solutions, trusted by 85 per cent of Fortune 100 companies, with e& enterprise's comprehensive industry knowledge, specialised solutions and strong skills. This partnership creates a powerful system integration and services environment, making it a strong choice for government bodies and private companies that want to use their data for the best digital transformation results.

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Warum sind Cyberrisiken so schwer greifbar?

Als mehr oder weniger neuartiges Phänomen stellen Cyberrisiken Unternehmen und Versicherer vor besondere Herausforderungen. Nicht nur die neuen Schadenszenarien sind abstrakter oder noch nicht bekannt. Häufig sind immaterielle Werte durch Cyberrisiken in Gefahr. Diese wertvollen Vermögensgegenstände sind schwer bewertbar.

Obwohl die Gefahr durchaus wahrgenommen wird, unterschätzen viele Firmen ihr eigenes Risiko. Dies liegt unter anderem auch an den Veröffentlichungen zu Cyberrisiken. In der Presse finden sich unzählige Berichte von Cyberattacken auf namhafte und große Unternehmen. Den Weg in die Presse finden eben nur die spektakulären Fälle. Die dort genannten Schadenszenarien werden dann für das eigene Unternehmen als unrealistisch eingestuft. Die für die KMU nicht minder gefährlichen Cyberattacken werden nur selten publiziert.

Aufgrund der fehlenden öffentlichen Meldungen von Sicherheitsvorfällen an Sicherheitsbehörden und wegen der fehlenden Presseberichte fällt es schwer, Fakten und Zahlen zur Risikolage zu erheben. Aber ohne diese Grundlage fällt es schwer, in entsprechende Sicherheitsmaßnahmen zu investieren.

Erklärungsleitfaden anhand eines Ursache-Wirkungs-Modells

Häufig nähert man sich dem Thema Cyberrisiko anlass- oder eventbezogen, also wenn sich neue Schadenszenarien wie die weltweite WannaCry-Attacke entwickeln. Häufig wird auch akteursgebunden beleuchtet, wer Angreifer oder Opfer sein kann. Dadurch begrenzt man sich bei dem Thema häufig zu sehr nur auf die Cyberkriminalität. Um dem Thema Cyberrisiko jedoch gerecht zu werden, müssen auch weitere Ursachen hinzugezogen werden.

Mit einer Kategorisierung kann das Thema ganzheitlich und nachvollziehbar strukturiert werden. Ebenso hilft eine solche Kategorisierung dabei, eine Abgrenzung vorzunehmen, für welche Gefahren Versicherungsschutz über eine etwaige Cyberversicherung besteht und für welche nicht.

Die Ursachen sind dabei die Risiken, während finanzielle bzw. nicht finanzielle Verluste die Wirkungen sind. Cyberrisiken werden demnach in zwei Hauptursachen eingeteilt. Auf der einen Seite sind die nicht kriminellen Ursachen und auf der anderen Seite die kriminellen Ursachen zu nennen. Beide Ursachen können dabei in drei Untergruppen unterteilt werden.

Nicht kriminelle Ursachen

Höhere Gewalt

Häufig hat man bei dem Thema Cyberrisiko nur die kriminellen Ursachen vor Augen. Aber auch höhere Gewalt kann zu einem empfindlichen Datenverlust führen oder zumindest die Verfügbarkeit von Daten einschränken, indem Rechenzentren durch Naturkatastrophen wie beispielsweise Überschwemmungen oder Erdbeben zerstört werden. Ebenso sind Stromausfälle denkbar.

Menschliches Versagen/Fehlverhalten

Als Cyberrisiken sind auch unbeabsichtigtes und menschliches Fehlverhalten denkbar. Hierunter könnte das versehentliche Veröffentlichen von sensiblen Informationen fallen. Möglich sind eine falsche Adressierung, Wahl einer falschen Faxnummer oder das Hochladen sensibler Daten auf einen öffentlichen Bereich der Homepage.

Technisches Versagen

Auch Hardwaredefekte können zu einem herben Datenverlust führen. Neben einem Überhitzen von Rechnern sind Kurzschlüsse in Systemtechnik oder sogenannte Headcrashes von Festplatten denkbare Szenarien.

Kriminelle Ursachen

Hackerangriffe

Hackerangriffe oder Cyberattacken sind in der Regel die Szenarien, die die Presse dominieren. Häufig wird von spektakulären Datendiebstählen auf große Firmen oder von weltweiten Angriffen mit sogenannten Kryptotrojanern berichtet. Opfer kann am Ende aber jeder werden. Ziele, Methoden und auch das Interesse sind vielfältig. Neben dem finanziellen Interesse können Hackerangriffe auch zur Spionage oder Sabotage eingesetzt werden. Mögliche Hackermethoden sind unter anderem: Social Engineering, Trojaner, DoS-Attacken oder Viren.

Physischer Angriff

Die Zielsetzung eines physischen Angriffs ist ähnlich dem eines Hackerangriffs. Dabei wird nicht auf die Tools eines Hackerangriffs zurückgegriffen, sondern durch das physische Eindringen in Unternehmensgebäude das Ziel erreicht. Häufig sind es Mitarbeiter, die vertrauliche Informationen stehlen, da sie bereits den notwendigen Zugang zu den Daten besitzen.

Erpressung

Obwohl die Erpressung aufgrund der eingesetzten Methoden auch als Hackerangriff gewertet werden könnte, ergibt eine Differenzierung Sinn. Erpressungsfälle durch Kryptotrojaner sind eines der häufigsten Schadenszenarien für kleinere und mittelständische Unternehmen. Außerdem sind auch Erpressungsfälle denkbar, bei denen sensible Daten gestohlen wurden und ein Lösegeld gefordert wird, damit sie nicht veröffentlicht oder weiterverkauft werden.

Ihre Cyberversicherung sollte zumindet folgende Schäden abdecken:

Cyber-Kosten:

Soforthilfe und Forensik-Kosten (Kosten der Ursachenermittlung, Benachrichtigungskosten und Callcenter-Leistung)
Krisenkommunikation / PR-Maßnahmen
Systemverbesserungen nach einer Cyber-Attacke
Aufwendungen vor Eintritt des Versicherungsfalls

Cyber-Drittschäden (Haftpflicht):

Befriedigung oder Abwehr von Ansprüchen Dritter
Rechtswidrige elektronische Kommunikation
Ansprüche der E-Payment-Serviceprovider
Vertragsstrafe wegen der Verletzung von Geheimhaltungspflichten und Datenschutzvereinbarungen
Vertragliche Schadenersatzansprüche
Vertragliche Haftpflicht bei Datenverarbeitung durch Dritte
Rechtsverteidigungskosten

Cyber-Eigenschäden:

Betriebsunterbrechung
Betriebsunterbrechung durch Ausfall von Dienstleister (optional)
Mehrkosten
Wiederherstellung von Daten (auch Entfernen der Schadsoftware)
Cyber-Diebstahl: elektronischer Zahlungsverkehr, fehlerhafter Versand von Waren, Telefon-Mehrkosten/erhöhte Nutzungsentgelte
Cyber-Erpressung
Entschädigung mit Strafcharakter/Bußgeld
Ersatz-IT-Hardware
Cyber-Betrug