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[Hardware] Cloud-Digital-Leader Simulationsfragen & Cloud-Digital-Leader Fragen Antwort

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【Hardware】 Cloud-Digital-Leader Simulationsfragen & Cloud-Digital-Leader Fragen Antwort

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ExamFragen ist eine Website, die Fragenkataloge zur Cloud-Digital-Leader -Zertifizierungsprüfung bietet. Seine Erfolgsquote beträgt 100%. Das ist der Grund dafür, warum viele Kandiadaten ExamFragen glauben. ExamFragen kümmert sich immer um die Bedürfnisse der Kandidaten unf versuchen, ihre Bedürfnisse abzudecken. Mit ExamFragen werden Sie sicher eine glänzende Zukunft haben.
Die Google Cloud Digital Leader-Zertifizierungsprüfung ist eine der gefragtesten Zertifizierungen für Fachkräfte, die ihr Wissen und ihr Fachwissen in Cloud-Technologien validieren möchten. Die Prüfung soll Ihre Fähigkeiten in verschiedenen Bereichen testen, einschließlich Cloud -Computing, Datenanalyse, künstlicher Intelligenz, maschinelles Lernen und vielem mehr. Die Zertifizierung wird von Google Cloud angeboten, einer der führenden Cloud -Service -Anbieter der Welt.
Google Cloud-Digital-Leader Prüfungsplan:
ThemaEinzelheiten
Thema 1
  • Trust and Security with Google Cloud: In this section of the exam, candidates are tested for concepts such as Trust and security in the cloud, Google’s trusted infrastructure, and Google Cloud’s trust principles and compliance.
Thema 2
  • Exploring Data Transformation with Google Cloud: This section of the exam covers the Value of Data, how describes the intrinsic role that data plays in an organization’s digital transformation, and explains how data generates business insights, drives decision-making, and creates new value.
Thema 3
  • Modernize Infrastructure and Applications with Google Cloud: This section of the exam covers  Cloud modernization and migration, computing in the cloud environment, serverless computing, containers in the cloud, the value of APIs, hybrid and multi-cloud, etc.
Thema 4
  • Digital Transformation with Google Cloud: This section of the exam covers topics such as the reason why Cloud Technology is Transforming Business and how the cloud is revolutionizing businesses. Moreover, it covers terms such as cloud, cloud technology, data, digital transformation, cloud-native, open source, and open standard.

Cloud-Digital-Leader Zertifizierungsfragen, Google Cloud-Digital-Leader PrüfungFragenUnser ExamFragen stellt Ihnen die besten Fragen und Antworten zur Google Cloud-Digital-Leader Zertifizierungsprüfung zur Verfügung und führt Ihnen schrittweise zum Erfolg. Die Schulungsunterlagen zur Google Cloud-Digital-Leader Zertifizierungsprüfung von ExamFragen werden Ihnen eine reale Prüfungsvorbereitung bieten. Sie sind ganz zielgerichtet. Sie werden sicher ein IT-Expert werden. Unsere Google Cloud-Digital-Leader Schulungsunterlagen sind Ihnen am geeignetesten.Tragen Sie doch in unserer Website ein. Sie werden sicher etwas Unerwartetes bekommen.
Die Google Cloud Digital Leader -Zertifizierungsprüfung wurde entwickelt, um Ihr Wissen und Ihr Fachwissen bei der Verwendung von Google Cloud -Technologien zur Förderung der digitalen Transformation zu testen. Diese Zertifizierung ist ideal für Fachleute, die für die Leitung digitaler Initiativen in ihren Organisationen verantwortlich sind und ein tiefes Verständnis dafür erlangen möchten, wie Google Cloud -Tools zur Förderung von Innovationen und Wachstum nutzen können.
Google Cloud Digital Leader Cloud-Digital-Leader Prüfungsfragen mit Lösungen (Q408-Q413):408. Frage
A vacation home rental organization wants to predict the popularity of properties in their upcoming busy season. They do not have a data science team, and want to use their in-house database administration skills to create a machine learning model. What should the organization do?
  • A. Build a model in AutoML using labeled data.
  • B. Integrate pre-trained APIs into their application.
  • C. Use custom training in Vertex Al with TensorFlow.
  • D. Use BigQuery ML and create models using SQL.
Antwort: D
Begründung:
The correct answer is B. Use BigQuery ML and create models using SQL. Here's why:
Context of the Questio n : The organization wants to predict property popularity for the upcoming busy season but does not have a data science team and relies on in-house database administration skills.
Google Cloud Product Relevance:
BigQuery ML enables data analysts and database administrators to build and run machine learning models using SQL queries directly within BigQuery. This makes it accessible to users familiar with SQL, eliminating the need for advanced data science skills.
BigQuery ML is ideal for this organization since it allows them to leverage their existing SQL skills to build predictive models without the complexity of custom machine learning frameworks or coding in languages like Python.
Why Not Other Options:
A . Use custom training in Vertex AI with TensorFlow: This requires expertise in TensorFlow and machine learning, which the organization lacks.
C . Build a model in AutoML using labeled data: AutoML does simplify the ML model-building process but still requires more knowledge than basic SQL. Also, BigQuery ML allows the use of existing SQL skills, which is preferred in this scenario.
D . Integrate pre-trained APIs into their application: Pre-trained APIs are suitable for common use cases like image recognition or natural language processing, not for custom predictions based on unique data like property popularity.
Google Cloud Digital Leader Reference:
Refer to BigQuery ML documentation for more details on using SQL to create and use ML models.

409. Frage
Your customer is moving from AWS to Google Cloud. Data also needs to be moved. There is about 50TB of dat a. On AWS, the data resides in an S3 bucket. It is going to be moved to Cloud Storage. Data is also being continuously generated on S3 prior to the cutover. It is preferable that this is also periodically transferred. What is the best way to move the data?
  • A. Use the gsutil command-line option
  • B. Use the Storage Transfer Service
  • C. Use the Google Cloud console to drag and drop the files easily
  • D. Use a Transfer Appliance
Antwort: B
Begründung:
Storage Transfer Service provides options that make data transfers and synchronization easier. We can also schedule one-time transfer operations or recurring transfer operations.
Reference link- https://cloud.google.com/storage-transfer/docs/overview Reference link- https://cloud.google.com/archite ... ge-transfer-service

410. Frage
Your organization wants to be sure that is expenditures on cloud services are in line with the budget. Which two Google Cloud cost management features help your organization gain greater visibility into its cloud resource costs? (Choose two.)
  • A. Financial governance policies
  • B. Payments profile
  • C. Resource labels
  • D. Sustained use discounts
  • E. Billing dashboards
Antwort: C,E
Begründung:
A label is a key-value pair that helps you organize your Google Cloud resources. You can attach a label to each resource, then filter the resources based on their labels. Information about labels is forwarded to the billing system, so you can break down your billed charges by label.
Reference link- https://cloud.google.com/cost-management

411. Frage
Your organization offers public mobile apps and websites. You want to migrate to a Google Cloud-based solution for checking and maintaining your users' usernames and passwords and controlling their access to different resources based on their identity.
Which should your organization choose?
  • A. VPN tunnels
  • B. Identity Platform
  • C. Compute Engine firewall rules
  • D. Private Google Access
Antwort: B
Begründung:
An identity platform is a modern solution for managing the identities of users and devices in a centralized fashion.
Reference:


412. Frage
Cloud Data Loss Prevention (DLP) is a fully managed service designed to help discover, classify, and protect the most sensitive dat a. DLP provides three key features (Select Three Answers)
  • A. Reinspection
  • B. Classification
  • C. De-classification
  • D. Inspection
  • E. De-identification
Antwort: B,D,E
Begründung:
Classification. De-classification and Inspection
Classification is the process to inspect the data and know what data we have, how sensitive it is, and the likelihood. Inspection and classification happen here.
De-identification is the process of removing, masking, replacing information from data.
Reference link- https://cloud.google.com/dlp/docs

413. Frage
......
Cloud-Digital-Leader Fragen Antworten: https://www.examfragen.de/Cloud-Digital-Leader-pruefung-fragen.html
P.S. Kostenlose und neue Cloud-Digital-Leader Prüfungsfragen sind auf Google Drive freigegeben von ExamFragen verfügbar: https://drive.google.com/open?id=1o2V7BwB4M-Gvbr2JKaoJvm_BUM4XXEvq
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