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Die Google Cloud Digital Leader Prüfung ist eine professionelle Zertifizierung, die dazu dient, das Wissen und die Fähigkeiten einer Person in Google Cloud-Technologien zu validieren. Diese Prüfung ist ideal für diejenigen, die ihre Expertise im Bereich Cloud-Computing und digitaler Transformation unter Beweis stellen möchten. Die Prüfung soll die Fähigkeit einer Person bewerten, Google Cloud-Technologien zu nutzen, um Geschäftsergebnisse zu erzielen und die digitale Transformation zu ermöglichen.

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Google Cloud Digital Leader Cloud-Digital-Leader Prüfungsfragen mit Lösungen (Q194-Q199):

194. Frage
Your company provides car maintenance services. It is conducting an internal hackathon to identify new ideas that could expand their business. The teams have pitched different ideas and have started working on it. They have to present their application to the judges within 48 hours. A presentation alone is not enough; they have to demonstrate a working proof of concept. The team that you are mentoring is going to recommend additional ser-vices to drive in customers based on the brand of car they drive in. They need to be able to identify what brand of car the customer has, based on a photograph automatically taken at entry. They have already discovered an open source database of car images collected by online enthusiasts. How should they implement this solution?

A. Use Deep Learning Containers that are preconfigured and optimized containers for deep learning environments.
B. Use Cloud Vision AI that is able to detect logos. Write only the code to integrate in-to your workflow.
C. Use AutoML Image - upload the images and let it create a working model for you.
D. Use TensorFlow to create a model that will identify the car brands; use the available data to train the model.

Antwort: C

Begründung:
Explanation
It would be most straightforward to use AutoML Image. Put the images in Cloud Storage, point to it from AutoML, and start the model building process.
Reference Link- https://cloud.google.com/automl

195. Frage
Which technology allows organizations to run multiple computer operating systems on a single piece of physical hardware?

A. Open source
B. Hypervisor
C. Serverless computing
D. Containers

Antwort: B

196. Frage
Your organization needs to plan its cloud infrastructure expenditures.
Which should your organization do?

A. If your organization uses only cloud resources, infrastructure costs are no longer part of your overall budget
B. Review cloud resource costs annually as part of planning your organization's overall budget
C. Involve fewer people in cloud resource planning than your organization did for on-premises resource planning
D. Review cloud resource costs frequently, because costs change often based on use

Antwort: B

197. Frage
Your company security team manages access control to production systems using an LDAP directory group.
How is this access control managed in the Google Cloud production project?

A. Grant each user the roles/iam.serviceAccountUser role on a service account that exists in the Google Group.
B. Assign the proper role to the Google Group in the project's IAM Policy.
C. Assign the proper role to the Service Account in the project's IAM Policy
D. Create the project in a folder with the same name as the LDAP directory group.

Antwort: B

Begründung:
Reference:

198. Frage
A retail organization is training a model to recommend products to customers for an ecommerce website. The model was trained on previous purchases, but did not include demographic information on each buyer. What dimension of the data is responsible for the model's poor performance?

A. Accuracy
B. Timeliness
C. Validity
D. Completeness

Antwort: D

Begründung:
Completeness refers to the degree to which all necessary data is present and accounted for. In the context of machine learning, if a model is trained without including all relevant dimensions (such as demographic information in this case), it might lead to poor performance because it lacks important data needed to make accurate predictions.
Option D: Completeness is correct because the lack of demographic information represents incomplete data.
The absence of this data dimension could prevent the model from learning patterns that are influenced by demographic factors, thereby impacting its overall effectiveness.
References:
* Google Cloud Documentation: Data Quality in Machine Learning
* Google Cloud AI Platform: Best Practices for Training Data Preparation

199. Frage
......

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Valid Cloud-Digital-Leader exam materials offer you accurate preparation dumps

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Google Cloud Digital Leader Cloud-Digital-Leader Prüfungsfragen mit Lösungen (Q194-Q199):

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