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NEW QUESTION 1
An organization has servers running mission-critical workloads on-premises around the world. They want to modernize their infrastructure with a multi-cloud architecture.
What benefit could the organization experience?
- A. Ability to disable regional network connectivity during cyber attacks
- B. Ability to keep backups of their data on-premises in case of failure
- C. Full management access to their regional infrastructure
- D. Reduced likelihood of system failure during high demand events
Answer: D
NEW QUESTION 2
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 Compute Engine is closed source, and Migrate for Anthos is open source.
- D. Migrate for Anthos migrates to containers, and Migrate for Compute Engine migrates to virtual machines.
Answer: D
Explanation:
Reference: https://cloud.google.com/migrate/anthos
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.
Graphical user interface, text, application, email Description automatically generated
https://cloud.google.com/migrate/containers/docs/architecture
NEW QUESTION 3
What is an example of unstructured data that organizations can capture from social media?
- A. Post comments
- B. Tagging
- C. Profile picture
- D. Location
Answer: A
Explanation:
https://treehousetechgroup.com/8-examples-of-unstructured-data/
NEW QUESTION 4
After rolling out a new update, an organization found a minor bug in its online video game. How should the organization approach this bug while following SRE principles?
- A. Accept and learn from the bug because failure is normal
- B. Accept and ignore the bug because it is only minor
- C. Hold a postmortem to reprimand the employee responsible for the bug
- D. Document bug correction to eliminate all future bugs
Answer: A
Explanation:
https://www.blameless.com/sre/sre-principles
Accepting failure as normal is one of the SRE principles. SREs believe that accepting
failure as normal helps to build an iterative, collaborative culture. One way this is done is by holding a blameless “lessons learned” discussion after an incident occurs.
NEW QUESTION 5
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. BigQuery
- B. Cloud Bigtable
- C. Pub/Sub
- D. Cloud Spanner
Answer: D
Explanation:
Reference: https://cloud.google.com/terms/services
Cloud Spanner is a fully-managed, mission-critical relational database service. It is designed to provide a scalable online transaction processing (OLTP) database with high availability and strong consistency at global scale
NEW QUESTION 6
Your organization is on a critical path with recently developed applications. They are going into production in a month. A few million users are expected to use the new application. They want to ensure minimum disruption when the application goes live. Any issues have
to be dealt with within minutes and resolved as quickly as possible. Which Support package should they take?
- A. Enhanced Support
- B. Standard Support
- C. Basic Support
- D. Premium Support
Answer: D
Explanation:
Premium Support will have a 15-minute response time with 24/7 response for high & criti- cal-impact issues.
https://cloud.google.com/support
NEW QUESTION 7
Your client has an on-premises data center. Due to technical limitations, they are unable to scale globally. They have decided to adopt the public cloud. However, they don't want to locked into any one vendor and, therefore, would like to work with multiple cloud providers. They have used open source container technologies and would like to continue using them.
- A. Cloud Run which supports containers and can scale in a serverless fashion
- B. Kubernetes that runs containers as their core workloads
- C. AppEngine Flexible Environment which supports containers
- D. Anthos that runs containers as their core workloads
Answer: D
Explanation:
Anthos unifies the management of infrastructure and applications across on- premises, edge, and in multiple public clouds with a Google Cloud-backed control plane for consistent operation at scale.
NEW QUESTION 8
Your organization needs to allow a production job to have access to a BigQuery dataset. The production job is running on a Compute Engine instance that is part of an instance group.
What should be included in the IAM Policy on the BigQuery dataset?
- A. The Compute Engine instance group
- B. The project that owns the Compute Engine instance
- C. The Compute Engine service account
- D. The Compute Engine instance
Answer: C
Explanation:
When an identity calls a Google Cloud API, BigQuery requires that the identity has the appropriate permissions to use the resource. You can grant permissions by granting roles to a user, a group, or a service account.
Reference link- https://cloud.google.com/bigquery/docs/access-control
NEW QUESTION 9
Which Google Cloud product is designed to reduce the risks of handling personally identifiable information (PII)?
- A. Cloud Storage
- B. Google Cloud Armor
- C. Cloud Data Loss Prevention
- D. Secret Manager
Answer: C
Explanation:
Reference: https://cloud.google.com/blog/products/gcp/take-charge-of-your-sensitive-data-with-the-cloud-dlp-api
Cloud Data Loss Prevention: Fully managed service designed to help you discover, classify, and protect your most sensitive data.
NEW QUESTION 10
You are a cloud architect in a software solution provider company, one of the client that is a Na-tional Bank who wants to build an application that deals with transactions processing, and it needs a relational database with petabyte of scale data. Which of the following Google Cloud Services will you use?
- A. Cloud SQL
- B. Cloud Bigtable
- C. Cloud Spanner
- D. Google Cloud BigQuery
Answer: C
Explanation:
- Cloud Spanner is the online transaction processing solution that is relational and offers petabyte scalability. Cloud SQL is not designed for petabyte-scale data.
NEW QUESTION 11
How does switching from on-premises to the cloud help organizations gain value over time?
- A. They can focus their efforts on solution development
- B. They can relax their on-premises data security protocols
- C. They can expand their internal application hosting infrastructure
- D. They can increase development of data recovery systems
Answer: A
NEW QUESTION 12
Which of these are defined by the following statement: a contract you have with your end custom-ers, which, if you don't meet, you might even have to pay fines?
- A. SLA - Service Level Agreement
- B. SLC - Service Level Contract
- C. SLO - Service Level Objective
- D. SLI - Service Level Indicator
Answer: A
Explanation:
https://cloud.google.com/blog/products/devops-sre/sre-fundamentals-slis-slas-and-slos
NEW QUESTION 13
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. AI Hub
- C. Cloud Talent Solution
- D. Recommendations AI
Answer: B
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 14
Cloud Data Loss Prevention (DLP) is a fully managed service designed to help discover, classify, and protect the most sensitive data. DLP provides three key features (Select Three Answers)
- A. Classification
- B. De-identification
- C. De-classification
- D. Inspection
- E. Reinspection
Answer: ABD
Explanation:
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
NEW QUESTION 15
An organization wants to add a new function to their application. They want to write the code and let the public cloud provider handle the infrastructure.
Which infrastructure solution should they use?
- A. Virtual machines
- B. Bare Metal Solution
- C. Serverless computing
- D. Container Registry
Answer: C
Explanation:
Serverless computing , as public cloud prouder(eg. google) will mange the infra things
NEW QUESTION 16
While on-premise, an enterprise had multiple teams, each with its own analytics data store. Attempts to converge the storage for centralized, company-wide analysis failed because of speed and scaling issues. What would be the preferred destination architecture on Google Cloud?
- A. Migrate to Bigtable which provides high throughput reads and writes.
- B. Migrate to Cloud Spanner as a globally scalable SQL database.
- C. Migrate to BigQuery as a central data warehouse.
- D. Migrate to Cloud SQL which supports multiple databases like MySQL, PostgreSQL, and SQL Server - all of the customer's SQL databases can be accommodated here.
Answer: C
Explanation:
BigQuery is the data warehousing option on Google Cloud. Since the source data has already been used for analysis, it should easily fit the BigQuery structure too.
NEW QUESTION 17
An organization has created an application that can diagnose different medical conditions when users submit images of their affected body parts.
Which Google Cloud product or service did the organization use?
- A. App Engine
- B. Machine learning
- C. Cloud Logging
- D. Cloud Profiler
Answer: B
NEW QUESTION 18
Your organization wants an economical solution to store data such as files, graphical images, and videos and to access and share them securely.
Which Google Cloud product or service should your organization use?
- A. Cloud Storage
- B. Cloud SQL
- C. Cloud Spanner
- D. BigQuery
Answer: A
Explanation:
- Google Storage is GCP's version of AWS Simple Storage Service (S3) and an S3 bucket would be equivalent to a Google Storage bucket across the two clouds
NEW QUESTION 19
Your organization is developing a mobile app and wants to select a fully featured cloud- based compute platform for it.
Which Google Cloud product or feature should your organization use?
- A. Google Kubernetes Engine
- B. Firebase
- C. Cloud Functions
- D. App Engine
Answer: B
Explanation:
Reference: https://cloud.google.com/appengine
Firebase is Google's mobile development platform that empowers you to quickly build and grow your app
NEW QUESTION 20
You are working in a company that provides different services to its customer. Now it also wants to offer some paid API services to its B2B customers for e.g. google provides google maps API, cloud vision API, and language translation API. You need to figure out the best solution for the service.
- A. Java Programming Spring Boot Framework for to solve the problem of APIs man-agement.
- B. Cloud Functions with Firestore and payment gateways integration development.
- C. Apigee API Management
- D. Frontend & Backend Development with NodeJs and angular etc.
Answer: C
Explanation:
A top-level idea about Apigee API Management and its offered features can help you solve all questions related to Apigee in Cloud Digital Leader Practice Exam.
Apigee is a platform for developing and managing APIs. By fronting services with a proxy
layer, Apigee provides an abstraction or facade for your backend service APIs and provides security, rate limiting, quotas, analytics, and more.
Apigee services: The APIs that you use to create, manage, and deploy your API proxies. Apigee runtime: A set of containerized runtime services in a Kubernetes cluster that Google maintains. All API traffic passes through and is processed by these services.
NEW QUESTION 21
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