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Google Cloud-Digital-Leader Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Trust and Security with Google Cloud17%- Risk management and incident response
- Security principles and shared responsibility model
- Data security, encryption, and compliance
- Identity and access management
Topic 2: Innovating with Google Cloud Artificial Intelligence16%- Google Cloud AI/ML products and tools
- Responsible AI principles and practices
- Use cases for AI in business operations and customer experience
- AI and ML fundamentals and business application
Topic 3: Exploring Data Transformation with Google Cloud17%- Data lifecycle management and governance
- Data-driven decision making and business value
- Modern data architectures and solutions
- Google Cloud data storage and analytics services
Topic 4: Modernize Infrastructure and Applications with Google Cloud17%- Application modernization: containers, Kubernetes, serverless
- Compute, storage, and networking solutions
- Hybrid and multi-cloud environments
- Migration and modernization strategies
Topic 5: Digital Transformation with Google Cloud17%- Cost management and pricing models in Google Cloud
- Google Cloud global infrastructure and resource management
- Impact of cloud infrastructure on business flexibility, scalability, and agility
- Cloud service models: IaaS, PaaS, SaaS
Topic 6: Scaling with Google Cloud Operations16%- Monitoring, logging, and observability tools
- Business continuity and disaster recovery
- Operational excellence and reliability
- Automation and infrastructure as code

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Google Cloud Digital Leader Sample Questions (Q345-Q350):

NEW QUESTION # 345
An e-commerce company's business has been booming. To keep up with the growth the IT team also grew.
Many new people are being added and new resources are being set up. The CIO is in conver-sation with you over coffee one day and expresses her growing concern that they might be moving too fast. Their security checks and policies have not kept pace. She worries that somebody would make a misconfiguration or compliance violation thus exposing the company to data and privacy loss. What can you advise her?

Answer: B

Explanation:
Security Command Center is the right tool for this use case. It can check resources for security issues and notify you when issues are found.
https://cloud.google.com/security-command-center


NEW QUESTION # 346
Which of the following options is/are correct about Preemptible VMs?

Answer: B

Explanation:
Preemptible VMs:
Predictable and low cost
Preemptible VMs are up to 80% cheaper than regular instances. Pricing is fixed so you will always get low cost and financial predictability, without worrying about variable market pricing.
Expand your batch processing
Supplement your regular VMs with lower-cost, preemptible instances to finish your compute-intensive work faster, saving you time and money. Throw preemptible VMs at fault-tolerant workloads such as high performance computing, big data and analytics, continuous integration/continuous delivery (CI/CD), rendering/transcoding, and testing.
Get more from your containers
Containers are naturally stateless and fault tolerant, making them a great fit for preemptible VMs! You save on your containerized workloads today with these affordable compute instances. Take advantage of Google Kubernetes Engine for your containerized workloads and Managed Instance Groups to painlessly and seamlessly recover from preemptions.
Enable it instantly
Simply add --preemptible to the gcloud command line and you're off to the races. There's no bidding to code for, and with per-second billing, just shut down your VMs as soon as you're done.


NEW QUESTION # 347
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?

Answer: D

Explanation:
An identity platform is a modern solution for managing the identities of users and devices in a centralized fashion.
Reference:


NEW QUESTION # 348
You are currently managing workloads running on Windows Server for which your company owns the licenses. Your workloads are only needed during working hours, which allows you to shut down the instances during the weekend. Your Windows Server licenses are up for renewal in a month, and you want to optimize your license cost.
What should you do?

Answer: B

Explanation:
The PAYG model is more convenient because you only pay for usage. And the case describes that the workloads are only run on certain days.


NEW QUESTION # 349
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?

Answer: C

Explanation:
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.
Reference:
Google Cloud Documentation: Data Quality in Machine Learning
Google Cloud AI Platform: Best Practices for Training Data Preparation


NEW QUESTION # 350
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