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NEW QUESTION 32
An organization wants to search for and share plug-and-play AI components which can easily build ML services into their project. Which Google Cloud product should the organi-zation use?
- A. Document AI
- B. Recommendations AI
- C. AI Hub
- D. Cloud Talent Solution
Answer: C
Explanation:
Because AI Hub is a hosted repository of plug-and-play AI compo-nents.
Reference link:- https://cloud.google.com/ai-hub/docs/release-notes
NEW QUESTION 33
When you update the function in firebase by deploying updated code, instances for older versions are cleaned up along with build artifacts in __________________ and replaced by new instances.
- A. Storage and Container Registry.
- B. None of the Above
- C. Google Cloud console.
- D. Container Registry repository.
Answer: A
Explanation:
Container Registry is a single place for your team to manage Docker images, perform vulnerability analysis, and decide who can access what with fine-grained access control
NEW QUESTION 34
Which Google Cloud product gives you a consistent platform for multi-cloud application deployments and extends other Google Cloud services to your environment?
- A. Virtual Public Cloud
- B. Compute Engine
- C. Anthos
- D. Google Kubernetes Engine
Answer: C
NEW QUESTION 35
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 Storage Transfer Service
- B. Use a Transfer Appliance
- C. Use the Google Cloud console to drag and drop the files easily
- D. Use the gsutil command-line option
Answer: A
Explanation:
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/architecture/transferring-data-from-amazon-s3-to-cloud-storage-using-vpc-service-controls-and-storage-transfer-service
NEW QUESTION 36
An organization has had a data leak scare because one employee made a sensitive Cloud Storage bucket available to the public. Given the nature of the company's business, it is understood that there is never any reason to give the public direct access to any file. The security head wants to ensure that such an event never occurs again. How can you ensure this?
- A. Remove Edit access rights of all Cloud Storage buckets so that no user can make any edits.
- B. Write Cloud Functions code connected to Cloud Storage. Any changes will be notified to the function which can be used to reset the public access.
- C. Use Cloud Scheduler to run a job at a specified interval to scan buckets. Any public permissions can be programmatically changed.
- D. Set an organizational policy constraint to restrict bucket access set to the public.
Answer: D
Explanation:
The straightforward way to set it is using Organizational Policy constraint. Any attempts to change the organizational setting will be rejected for any project and resource.
References link:
-> https://cloud.google.com/resource-manager/docs/organization-policy/overview
-> https://cloud.google.com/resource-manager/docs/organization-policy/org-policy-constraints
NEW QUESTION 37
Your organization is developing an application that will manage payments and online bank accounts located around the world. The most critical requirement for your database is that each transaction is handled consistently. Your organization anticipates almost unlimited growth in the amount of data stored.
Which Google Cloud product should your organization choose?
- A. Cloud Storage
- B. Cloud SQL
- C. Cloud Spanner
- D. Firestore
Answer: C
Explanation:
Features of Cloud Spanner
Reference:
NEW QUESTION 38
Your organization wants to migrate its data management solutions to Google Cloud because it needs to dynamically scale up or down and to run transactional SQL queries against historical data at scale. Which Google Cloud product or service should your organization use?
- A. Cloud Bigtable
- B. BigQuery
- C. Cloud Spanner
- D. Pub/Sub
Answer: C
NEW QUESTION 39
What are the key features of Google Cloud Identity.
- A. Works with your favorite apps and Endpoint management
- B. Single sign-on (SSO)
- C. Multi-factor authentication (MFA)
- D. All of the Above
Answer: D
Explanation:
Cloud Identity:
A unified identity, access, app, and endpoint management (IAM/EMM) platform.
- Give users easy access to apps with single sign-on.
- Multi-factor authentication protects user and company data.
- Endpoint management enforces policies for personal and corporate devices KEY FEATURES :
Modernize IT and strengthen security
Multi-factor authentication (MFA)
Help protect your user accounts and company data with a wide variety of MFA verification methods such as push notifications, Google Authenticator, phishing-resistant Titan Security Keys, and using your Android or iOS device as a security key.
Endpoint management
Improve your company's device security posture on Android, iOS, and Windows devices using a unified console. Set up devices in minutes and keep your company data more secure with endpoint management. Enforce security policies, wipe company data, deploy apps, view reports, and export details.
Single sign-on (SSO)
Enable employees to work from virtually anywhere, on any device, with single sign-on to thousands of pre-integrated apps, both in the cloud and on-premises.
Works with your favorite apps
Cloud Identity integrates with hundreds of cloud applications out of the box-and we're constantly adding more to the list so you can count on us to be your single identity platform today and in the future.
NEW QUESTION 40
You are leading projects in an IT services company. Your customer's project requires analyzing im-ages. They have many 10s of 1000s of raw images that they have made available to you. Your small technology team needs to build a machine learning model. The images are unlabeled. You don't have the people or the capacity to label the images. What is your approach?
- A. Request data labeling service from Google.
- B. Look for open-source labeled images that closely resemble the given images.
- C. Tell the customer it is their duty to label the images.
- D. Hire temporary workers who can quickly label the images.
Answer: C
Explanation:
Google's Data Labeling Service lets you work with human labelers to generate highly accurate labels for a collection of data that you can use in machine learning models.
References:
-> https://cloud.google.com/vertex-ai/docs/datasets/data-labeling-job
-> https://cloud.google.com/ai-platform/data-labeling/docs
NEW QUESTION 41
Your organization is moving an application to Google Cloud. As part of that effort, it needs to migrate the application's working database from another cloud provider to Cloud SQL. The database runs on the MySQL engine. The migration must cause minimal disruption to users. Data must be secured while in transit.
Which should your organization use?
- A. Database Migration Service
- B. MySQL batch insert
- C. BigQuery Data Transfer Service
- D. Cloud Composer
Answer: A
NEW QUESTION 42
A large organization is struggling to manage their cloud costs effectively. They want to increase vis-ibility into cloud costs. Which cost management approach should the organization use?
- A. Appoint a single person to monitor cloud spending across the organization.
- B. Increase monitoring of on-premises infrastructure and services.
- C. Establish a partnership between finance, technology, and business teams.
- D. Review any cloud spending that exceeds the organization's error budget.
Answer: C
Explanation:
Because cross-team partnerships are part of the visibility cost management strategy.
https://wa.aws.amazon.com/wat.question.COST_1.en.html
NEW QUESTION 43
How do Migrate for Compute Engine and Migrate for Anthos differ?
- A. Unlike Migrate for Anthos, Migrate for Compute Engine assumes that the migration source is VMware vSphere.
- B. Migrate for Compute Engine charges for ingress, but Migrate for Anthos does not.
- C. Migrate for Anthos migrates to containers, and Migrate for Compute Engine migrates to virtual machines.
- D. Migrate for Compute Engine is closed source, and Migrate for Anthos is open source.
Answer: C
Explanation:
Reference:
Migrate workloads to Compute Engine with Migrate for Compute Engine. Migrate from Compute Engine to containers with Migrate for Anthos and GKE.
This method makes sense, for instance, in cases where you want to conduct a data-center migration and migrate all workloads into Compute Engine, and only at a second stage selectively modernize suitable workloads to containers.
https://cloud.google.com/migrate/containers/docs/architecture
NEW QUESTION 44
Your organization consists of many teams. Each team has many Google Cloud projects. Your organization wants to simplify the management of identity and access policies for these projects.
How can you group these projects to meet this goal?
- A. Assign labels based on the virtual machines that are part of each team's projects
- B. Group each team's projects into a separate organization node
- C. Use folders to group each team's projects
- D. Group each team's projects into a separate domain
Answer: B
Explanation:
Create an Organization node
NEW QUESTION 45
An organization wants to measure everything as part of its new DevOps philosophy. What should the organization measure?
- A. The reliability and health of their systems.
- B. The satisfaction and happiness of their employees.
- C. The risk and reward of their investments.
- D. The speed of their cloud adoption process.
Answer: A
Explanation:
https://newrelic.com/devops/measuring-devops#toc-devops-measurments-for-team-health
NEW QUESTION 46
A startup client of yours does offline data processing for a few of its clients. They are mi-grating their applications and the associated data to Google Cloud. They have 100TB of data to move. They presently have a very small private data center setup connected to a local internet provider. The maximum bandwidth they are able to get is 100Mbps. How long will it take them to transfer the data over the internet if the transfer goes smoothly?
- A. About 100 days.
- B. About 2 years.
- C. bout 12 days.
- D. About 24 hours.
Answer: A
Explanation:
The key reason I included this question is to clarify some terminologies that will be important for your estimates. The data size mentioned is a TB terabyte. Note the "byte". The speed is mentioned in Mbps, which is Megabits per second. Note the "bits". 8 bits make a byte. So, to get the actual number of bits transferred, you need to multiply the TB number by 8.
Total data transferred (in bits) = 100 * 1,000,000,000,000 * 8 bits
Speed = 100Mbps = 100 * 1,000,000. i.e. 100 million bits are transferred per second.
Hence time taken to transfer all the data = Total Data/Speed = 8,000,000 seconds.
Number of seconds in a day = 24*60*60 = 86,400
Total time taken in days = 8,000,000/86,400 = 92.59 days
Reference link- https://cloud.google.com/architecture/migration-to-google-cloud-transferring-your-large-datasets#online_versus_offline_transfer
NEW QUESTION 47
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