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ERASED TEST, YOU MAY BE INTERESTED ONGCP-CDP-M4,5,6

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Title of test:
GCP-CDP-M4,5,6

Description:
GCP-CDP-M4,5,6

Author:
AVATAR

Creation Date:
23/07/2023

Category:
Others

Number of questions: 60
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AVATAR
SanjaySu ( uploaded 6 months )
Is this practice test for GCP - Cloud Database Professional or GCP - Cloud DevOps Professional ?
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Content:
An organization wants to write and run small pieces of code in a serverless way that respond to events line huge discounts. Which Gogle Cloud compute solution should the organization use? Google Kubernetes Engine Cloud Functions Bare Metal Solution Compute Engine.
An organization wants a serverless execution environment for building and connecting cloud services. They cant predict how many resources they will need. Which Google Cloud solution should they use? Compute Engine Google Kubernetes Engine Cloud Functions Bare Metal Solution for SAP.
An organization wants to move from a strategic cloud adoption maturity level to a transformational one. How should the organization change the way they scale? Reviehttps://en.daypo.com/images/diskette.pngw changes manually Deploy changes programmatically Deploy changes when problems arise Drive cloud adoption with an individual contributor focus.
An organization wants to dynamically adjust its application to serve different user needs. What are the benefits of storing their data in the cloud for this use case? Data can be stored in archive for long term access No data access management required Automatic data cleaning and validation Real-time data ingestion and analysis.
An organization needs to migrate specialized workloads to the cloud while maintaining their existing complex licensing and architecture. What Google Cloud solution should the organization use? Compute Engine Bare Metal Solution Cloud Run Cloud Functions.
An organization is looking for a solution to help them build applications using their preferred programming language and tools. They also want to minimize time spent on infrastructure management. What solution should the organization use? Cloud Run Dataproc Pub/Sub Bare Metal Solution.
Your company's development team is building an application that will be deployed on Cloud Run. You are designing a CI/CD pipeline so that any new version of the application can be deployed in the fewest number of steps possible using the CI/CD pipeline you are designing. You need to select a storage location for the images of the application after the CI part of your pipeline has built them. What should you do? Create a Compute Engine image containing the application Store the images in Container Registry Store the images in Cloud Storage Create Compute Engine disk containing the application.
Your organization wants to run a container-based application on Google Cloud. This application is expected to increase in complexity. You have a security need for fine-grained control of traffic between the containers. You also have an operational need to exercise fine-grained control over the application's scaling policies. What Google Cloud product or feature should your organization use? Google Kubernetes Engine Cluster App Engine Cloud Run Compute Engine virtual machines.
Your company has been using a shared facility for data storage and will be migrating to Google Cloud. One of the internal applications uses Linux custom images that need to be migrated. Which Google Cloud product should you use to maintain the custom images? App Engine flexible enviroment Compute Engine App Engine standard Environment Google Kubernetes Engine.
An organization wants full control of their virtual machine infrastructure for a custom home-grown application with a product that auto scales and automatically updates. Which Google Cloud product or solution should the organization use? Cloud Run Cloud Build Compute Engine App Engine.
You are a program manager within a Software As a Service(SaaS) company that offers rendering software for animation studios. Your team needs the ability to allow scenes to be scheduled at will and to be interrupted at any time to restart later. Any individual scene rendering takes less than 12 hours to complete, and there is no service-level agreement(SLA) for the completion time for all scenes. Results will be stored in a global Cloud Storage bucket. The compute resources are not bound to any single geographical location. This software needs to run on Google Cloud in a cost-optimized way. What should you do? Deploy the application on Compute Engine using preemptible instances Develop the application so it can run in an unmanaged instance group Create a reservation for minimum number of Compute Engine instances you will use Start more instances with fewer virtual centralized processing units(vCPUs) instead of fewer instances with more vCPUs.
Your organization runs all its workloads on Compute Engine virtual machine instances. Your organization has a security requirement: the virtual machines are not allowed to access the public internet. The workloads running on those virtual machines need to access BigQuery and Cloud Storage, using their publicly accessible interfaces, without violating the security requirement. Which Google Cloud product or feature should your organization use? Identity-Aware Proxy Cloud NAT (network address translation) VPC internal load balancers Private Google Access.
Your organization is running all its workloads in a private cloud on top of a hypervisor. Your organization has decided it wants to move to Google Cloud as quickly as possible. Your organization wants minimal changes to the current environment, while using the maximum amount of managed services Google offers. What should your organization do? Migrate the workloads to Google Cloud VMWare Engine Migrate the workloads to Compute Engine Migrate the workloads to Bare Metal Solution Migrate the workloads to Google Kubernetes Engine.
Your organization offers public mobile apps and websites. You want to migrate to a Google Cloud-based solution for checking and maintaining your user's username and passwords and controlling their access to different resources based on their identity. Which should your organization choose? VPN tunnels Identity Platform Compute Engine firewall rules Private Google Access.
An organization needs a platform to create custom end to end artificial intelligence models. Which Google Cloud product or service should the organization use? Dataproc Compute Engine Recommendations AI Vertex AI.
Your organization runs a distributed application in the Compute Engine virtual machines. Your organization needs redundancy, but it also needs extremely fast communication (less than 10 milliseconds) between the parts of the application in different virtual machines. Where should your organization locate this virtual machines? In a single zone within a single region In different zones within a single region In multiple regions, using one zone per region In multiple regions, using multiple zones per region.
Your organization runs many workloads in different Google cloud projects, each linked to the same billing account. Each project's workload costs can vary from month to month, but the overall combined cost of all projects is relatively stable. Your organization needs to optimize its cost. What should your organization do? Purchase a commitment per project for each project's usual minimum Create a billing account per project and link each project to a different billing account Turn on committed use discount sharing and create a commitment for the combined usage Move all workloads from all different projects into one single consolidate project.
Your organization is defining the resource hierarchy for its new application in Google Cloud. You need separate development and production environments. The production environment will be deployed in Compute Engine in two regions. Which structure should your organization choose? Create a single project for all environments. Use labels to segregate resources by environment Create a single project for all environments. Use tags to segregate resources by environment Create one project for the development environment and one project for the production environment Create two projects for the development environment and two projects for the production environment (one for each region).
Your large and frequently changing organization's user information is stored in an on-premises LDAP database. The database includes user passwords and group and organization membership. How should your organization provision Google accounts and groups to access Google Cloud resources? Replicate the LDAP infrastructure on Compute Engine Use the Firebase Authentication REST API to create users Use Google Cloud Directory Sync to create users Use the Identity Platform REST API to create users.
Your organization uses Active Directory to authenticate users. User's Google account access must be removed when their Active Directory account is terminated. How should your organization meet this requirement? Configure two-factor authentication in the Google domain Remove the Google account from all IAM policies Configure BeyondCorp and Identity-Aware proxy in the Google domain Configure single sign-on in the Google domain.
Your organization wants to collect metrics and metadata from their cloud applications and put them into dashboards. Which Google Cloud tool should they user? Cloud Monitoring Cloud Trace Cloud Logging Cloud Debugger.
What is monitoring within the context of cloud operations? Observing cloud expenditure in real time to ensure that budgets are not exceeded. Collecting predefined and custom metrics from applications and infrastructure Tracking user activities to guarantee compliance with privacy regulations Tracing user location to document regional access and utilization.
What is an organization exclusively responsible for when they access an application through a software as a service (SaaS) model? Mainaining overall system operability Maintaining customer-facing content Monitoring data center servers Monitoring computer networks.
An organization wants to better understand the behavior of their code in production and analyze its state to identify hard-to-find programming errors. Which Google Cloud tool should the organization use? Debugger Profiler Cloud Monitoring Trace.
What is out-of-the-box observability within the context of cloud operations? Monitoring project development timelines Monitoring IT infrastructure and applications Monitoring customer satisfaction and feedback Monitoring cloud subscription costs.
An organization wants to evaluate the performance of their entire cloud infrastructure, including metrics like server uptime and response rate reports. Which Google Cloud tool should the organization use? Cloud Profiler Cloud Debugger Cloud Trace Cloud Monitoring.
An organization's applications run on an inflexible, on-premises architecture. The organization has decided to modernize their existing application with the cloud. What may have prompted this business decision? Developers want to test ideas and experiment with more ease. Developers want cloud providers to take full control of their application performance IT managers want cloud providers to automatically deploy their infrastructure IT managers want to stop making gradual changes .
Which Google Cloud product helps customers search and analyse log files through query statements? Use Public Write APIs to write custom logs from on-premise? Set alerts for notifying when a specific message appears in logs? Cloud Logging Cloud Debugger Cloud Tracer Cloud Monitoring.
What is a custom-designed machine learning ASICs (application-specific integrated circuits) that power Google's search, youtube and LAMBDA AI model? Datastream Cloud TPU Cloud GPU Container Registry.
Which google cloud product can report on and maintain compliance on your entire google cloud organization to cover multiple projects? Cloud Logging Identity and Access Management Google Cloud Armor Security Command Center.
What does Cloud logging help organizations do? Analyze live source code and log code updates Deploy infrastructure as code Analyze logs and accelerate application troubleshooting Manage storage of custom VM images .
Which of the following is not a level of organizational GCP support? Basic Ultra Standard Premium.
Your organization needs to categorize objects in a large group of static images using machine learning. Which Google Cloud product or service should your organization use? BigQuery ML AutoML Video Intelligence Cloud Vision API AutoML Tables.
Which Google Cloud product is designed to reduce the risks of handling personally identifiable information(PII)? Cloud Storage Google Cloud Armor Cloud Data Loss Prevention Secret Manager.
A manager wants to review Google Cloud data access among their employees. Who is responsible for defining data access policies? Cloud Identity Google Cloud Customer Care team Their organization's IT team Their organization's end users.
An organization has decided to modernize their applications in the cloud to keep up with their customer's needs. What may have prompted this business decision? Their on-premises applications only auto scale to meet demand They want to change from pay-as-you-go mode to a capital expenditure model Their source code changes erroneously without developer interaction Their on-premises applications take months to update and deploy.
An organization needs to categorize a large group of photographs using pre-trained machine learning. Which Google Cloud product or service should the organization use? Vision API BigQuery ML AutoML Vision Looker.
How do out-of-the-box APIs make artificial intelligence and machine learning more accessible for all Google Cloud customers? The don't require technical specialists They don't require data input and validation They require fewer security permissions They all require custom training models.
An organization needs to run frequent updates for their business app. Why should the organization use Google Kubernetes Engine (GKE)? Customer expectations can be adjusted without using marketing tools Seamless changes can be made without causing any application downtime GKE handles version control seamlessly and out of the box GKE is well suited for all monolithic application.
An organization is planning to create many new applications and need a system for managing and orchestrating their containers. Why should they use Google Kubernetes Engine? It enables rapid application deployment and testing It optimizes virtual machine performance It connects legacy systems to an application It provides pre-written source code for application development.
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? Cloud Logging Cloud Profiler App Engine Machine Learning.
An organization wants to use all available data to offer predictive suggestions on their website that improve over time. Which method should the organization use? Data automation Trends analysis Machine Learning Multiple Regression .
An organization needs to categorize text-based customer reviews on their website using a pre-trained machine learning model. Which Google Cloud product or service should the organization use? Cloud Natural Language API Dialogflow Recommendations AI TensorFlow.
An organization is using machine learning to make predictions. One of their datasets mistakenly includes mislabeled data. How will the prediction be impacted? Increased risk of privacy leaks Increased risk of inaccuracy Decreased model compatibility Decreased model training time.
An organization wants to scale their existing virtual machine architecture as quickly as possible. Why should the organization use VMWare Engine? To migrate virtual machines to containers To replatform virtual machines as they are To deploy custom APIs seamlessly To archive virtual machine instances.
An organization runs their application on a virtual machine, but every time they want to edit specific features, they have to bring the system offline to update the application. What would be a more appropriate solution for their app? Solid State Disk Containers Hypervisors GPUs.
How does Google Cloud enable customers to leverage the power of artificial intelligence and machine learning? With scalable on-premises tensor processing units With APIs and tools for users at different levels of expertise With affordable and scalable quantum computing With machine learning models that always require custom training.
How does Google Cloud AI hub make machine learning easy and accessible for Google Cloud customers to get started? It deploys artificial intelligence models in real time It automatically codes user's machine learning modesl It automatically sources and prepares user's machine learning data It includes a repository of plug-and-play artificial intelligence tools.
A startup working on self driving vehicles applications requires to collect data from vehicles on-road. Which offering from Cloud providers will help the organization transmit the data from vehicles currently on-road for data collection? Machine Learning product offering IoT product offering Data Analytics product offering Storage product offering.
Your organization is releasing its first publicly available application in Google Cloud. The application is critical to your business and customers and requires a 2-hour SLA. How should your organiztion setup support to minimize costs? Enroll in Premium Support Enroll in Enhanced Support Enroll in Standard Support Enroll in Basic Support.
Your organization meant to purchase a 3-year committed use discount, but accidentally purchased a 1-year committed use discount instead. What should your organization do? Contact your financial institution Contact Trust and Safety Contact Cloud Billing Support Contact Technical Support.
An organization is making a strategic change to customer support in response to feedback. They plan to extend their helpline availability hours. Why is the organization making this change? Users expect professional expertise Users require personalization Users expect always-on services Users require regional access.
An organization recently launched a virtual customer support agent, generating vast amount of text and speech data. Why should they use a cloud data warehouse to interpret this data? To natively visualize both types of data using a dashboard in real time To ingest and analyze structured and unstructured data at scale, in real time To secure data transmission between cloud and on-premise environments To transform data from structured to unstructured.
Your organization needs to minimize how much it pays for data traffic from Google network to the internet. What should your organization do? Choose the standard network service tier Choose the Premium network service tier Deploy Cloud VPN Deploy Cloud NAT.
What is an example of unstructured data that organizations can capture from social media? Post comments Tagging Profile picture Location.
An online retail organization wants to optimize their service. What is an example of unstructured data that they can use to make decisions? Customer survey comments Seller location coordinates Product sales trends Warehouse inventory records.
What can customers expect if their cloud provider doesn't meet their service level agreement(SLA)? Increase in subscription fees Cloud service shutdown Refund for service interruption Error budget expansion.
How does Google Cloud ensure that customer data remains secure and private when at rest? By aggregating training data for customers within each industry By automatically locking files containing suspicious code By auditing platform privacy practices against industry standards By providing privacy reviews for critical customer applications.
An organization's developers are growing increasingly frustrated by the limitations of their on-premises infrastructure. How would they benefit from leveraging cloud technology? They can expect 100% service availability They can avoid the limitations of serverless computing They can have new tools to innovate and optimize resource usage They can optimize maintenance for their on-premises infrastructure.
Which policy helps Google Cloud keep customer data private Google tests the service availability of customer applications Google does not use customer data for advertising purposes Google migrated customer data to an offline server when a threat is detected Google does not allow customers to change encryption keys.
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