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Microsoft DP-900 : Microsoft Azure Data Fundamentals test Questions, MCQs and Practice Test Practice Test Organized by Richard

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Exam Number : DP-900
Exam Name : Microsoft Azure Data Fundamentals
Vendor Name : Microsoft
Update : Click Here to Check Latest Update
Total MCQs : Check Questions

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DP-900 test Format | DP-900 Course Contents | DP-900 Course Outline | DP-900 test Syllabus | DP-900 test Objectives

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Test Detail:
The Microsoft DP-900 exam- also known as Microsoft Azure Data Fundamentals- is designed to assess the foundational knowledge and understanding of data concepts and core services on the Microsoft Azure platform. This certification is suitable for individuals who want to start a career in data-related roles or who need to work with data in their current roles.

Course Outline:
The course for Microsoft Azure Data Fundamentals covers various fundamental concepts and services related to data management and processing on the Azure platform. The following is a general outline of the key areas covered:

1. Introduction to Data Concepts:
- Understanding core data concepts- such as relational and non-relational data- structured and unstructured data- big data- and batch/streaming data.
- Exploring data processing and analytics techniques.

2. Core Azure Data Services:
- Overview of Azure data services- including Azure SQL Database- Azure Cosmos DB- Azure Data Lake Storage- and Azure Synapse Analytics.
- Introduction to Azure Data Factory and Azure Databricks.

3. Relational Data in Azure:
- Understanding Azure SQL Database and its features- such as deployment options- security- scalability- and performance.
- Exploring Azure Database for MySQL and Azure Database for PostgreSQL.

4. Non-Relational Data in Azure:
- Overview of Azure Cosmos DB and its features- including global distribution- scalability- and consistency models.
- Introduction to Azure Table Storage- Azure Blob Storage- and Azure Queue Storage.

5. Data Integration and Orchestration:
- Introduction to Azure Data Factory and its capabilities for data integration and orchestration.
- Overview of data ingestion and transformation using Azure Databricks.

6. Data Analytics and Visualization:
- Introduction to Azure Synapse Analytics (formerly SQL Data Warehouse) and its capabilities for data warehousing and analytics.
- Exploring Azure HDInsight and its support for big data processing.
- Overview of Power BI and its role in data visualization and reporting.

Exam Objectives:
The Microsoft DP-900 test focuses on evaluating the candidate's knowledge and understanding of the following key areas:

1. Understand Core Data Concepts
2. Describe Core Azure Data Services
3. Describe how to work with Relational Data on Azure
4. Describe how to work with Non-Relational Data on Azure
5. Describe an Analytics workload on Azure

Exam Syllabus:
The test syllabus for Microsoft Azure Data Fundamentals provides a detailed breakdown of the Topics covered in each test objective. It includes sub-topics- concepts- and specific tasks that candidates should be familiar with. The syllabus may cover the following areas:

- Data types and formats
- Azure SQL Database deployment models and security
- Azure Cosmos DB consistency models
- Azure Data Lake Storage and Azure Synapse Analytics concepts
- Azure Data Factory data integration and orchestration
- Azure Databricks for data ingestion and transformation
- Power BI data visualization and reporting

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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: