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Google Professional-Cloud-Architect certification is a valuable certification for professionals who work with GCP. Google Certified Professional - Cloud Architect (GCP) certification is designed to test the candidate's knowledge and skills in designing, developing, and managing secure, scalable, and reliable solutions on the GCP. Google Certified Professional - Cloud Architect (GCP) certification is highly regarded in the industry and is recognized by many organizations. Passing the certification exam is a testament to the candidate's expertise in GCP and their ability to design and implement solutions that meet the needs of organizations.
Topics of Google Professional Cloud Architect Exam
Candidates must know the exam topics before they start of preparation. because it will really help them in hitting the core. Our Google Professional Cloud Architect Dumps will include the following topics:
1. Designing and planning a cloud solution architecture
Business requirements considerations
- Integration with external systems
- Supporting the application design
- Movement of data
- Design decision trade-offs
- Build, buy or modify
- Business use cases and product strategy
- Cost optimization
- Success measurements (e.g., key performance indicators [KPI], return on investment [ROI], metrics)
Technical requirements considerations
- Performance and latency
- Elasticity of cloud resources
- Scalability to meet growth requirements
- High availability and failover design
Network, Storage, and Compute resources Considerations
- Cloud-native networking (VPC, peering, firewalls, container networking)
- Choosing appropriate storage types (e.g., object, file, RDBMS, NoSQL, NewSQL)
- Mapping compute needs to platform products
- Choosing compute resources (e.g., preemptible, custom machine type, specialized workload)
Creating a migration plan
- Testing and proof of concept
- Network planning
- Migrating systems and data to support the solution
- Integrating solution with existing systems
Envisioning future solution improvements
- Evangelism and advocacy
- Cloud and technology improvements
- Business needs evolution
2. Managing and provisioning a solution Infrastructure
Configuring network topologies
- Extending to a multi-cloud environment that may include GCP to GCP communication
- Extending to on-premises (hybrid networking)
- Security and data protection
Configuring individual storage systems
- Data retention and data life cycle management
- Data growth management
- Security and access management
Configuring compute systems
- Compute volatility configuration (preemptible vs. standard)
- Infrastructure provisioning technology configuration (e.g. Chef/Puppet/Ansible/Terraform/Deployment Manager)
- Compute system provisioning
- Network configuration for compute nodes
- Container orchestration with Kubernetes
3. Designing for security and compliance
Security considerations
- Penetration testing
- Data security (key management, encryption)
- Security controls (e.g., auditing, VPC Service Controls organization policy)
- Resource hierarchy (organizations, folders, projects)
compliance Considerations
- Industry certifications (e.g., SOC 2)
- Commercial (e.g., sensitive data such as credit card information handling, personally identifiable information [PII])
- Legislation (e.g., health record privacy, children's privacy, data privacy, and ownership)
- Audits (including logs)
4. Analyzing and optimizing technical and business processes
Analyzing and defining technical processes considerations
- Testing and validation
- Software development life cycle plan (SDLC)
- Business continuity and disaster recovery
- Troubleshooting / post mortem analysis culture
- Service catalog and provisioning
Analyzing and defining business processes. Considerations include:
- Customer success management
- Cost optimization / resource optimization (capex / opex)
- Decision- making process
- Change management
- Team assessment / skills readiness
Developing procedures to ensure resilience of solution in production (e.g., chaos engineering)
5. Managing implementation
Advising development/operation team(s) to ensure successful deployment of the solution. considerations
- Application development
- Data and system migration tooling
- API best practices
- Testing frameworks (load/unit/integration)
Interacting with Google Cloud using GCP SDK (gcloud, gsutil, and bq) considerations
- Local installation
- Google Cloud Shell
6. Ensuring solution and operations reliability
- Evaluating quality control measures
- Assisting with the support of solutions in operation
- Deployment and release management
- Monitoring/logging/profiling/alerting solution
Google Professional-Cloud-Architect exam is a valuable credential for individuals who work in cloud architecture or related fields. Google Certified Professional - Cloud Architect (GCP) certification demonstrates that the candidate has the skills and knowledge to design and implement effective cloud solutions that meet the needs of businesses and organizations. This can be particularly valuable for individuals who work in IT or cloud computing roles, as well as for those who are interested in pursuing a career in these areas.
NEW QUESTION # 84
Your company wants to try out the cloud with low risk. They want to archive approximately 100 TB of their log data to the cloud and test the analytics features available to them there, while also retaining that data as a long-term disaster recovery backup. Which two steps should they take? Choose 2 answers
- A. Upload log files into Google Cloud Storage.
- B. Insert logs into Google Cloud Bigtable.
- C. Load logs into Google Cloud SQL.
- D. Import logs into Google Stackdriver.
- E. Load logs into Google BigQuery.
Answer: A,E
NEW QUESTION # 85
For this question, refer to the JencoMart case study.
JencoMart has decided to migrate user profile storage to Google Cloud Datastore and the application servers to Google Compute Engine (GCE). During the migration, the existing infrastructure will need access to Datastore to upload the dat a. What service account key-management strategy should you recommend?
- A. Provision service account keys for the on-premises infrastructure and for the GCE virtual machines (VMs).
- B. Authenticate the on-premises infrastructure with a user account and provision service account keys for the VMs.
- C. Deploy a custom authentication service on GCE/Google Container Engine (GKE) for the on-premises infrastructure and use GCP managed keys for the VMs.
- D. Provision service account keys for the on-premises infrastructure and use Google Cloud Platform (GCP) managed keys for the VMs
Answer: A
Explanation:
Migrating data to Google Cloud Platform
Let's say that you have some data processing that happens on another cloud provider and you want to transfer the processed data to Google Cloud Platform. You can use a service account from the virtual machines on the external cloud to push the data to Google Cloud Platform. To do this, you must create and download a service account key when you create the service account and then use that key from the external process to call the Cloud Platform APIs.
References:
https://cloud.google.com/iam/docs/understanding-service-accounts#migrating_data_to_google_cloud_platform Reference:
https://cloud.google.com/iam/docs/understanding-service-accounts
NEW QUESTION # 86
The current Dress4Win system architecture has high latency to some customers because it is located in one data center.
As of a future evaluation and optimizing for performance in the cloud, Dresss4Win wants to distribute its system architecture to multiple locations when Google cloud platform.
Which approach should they use?
- A. Use regional managed instance groups and a global load balancer to increase performance because the regional managed instance group can grow instances in each region separately based on traffic.
- B. Use a global load balancer with a set of virtual machines that forward the requests to a closer group of virtual machines as part of a separate managed instance groups.
- C. Use a global load balancer with a set of virtual machines that forward the requests to a closer group of virtual machines managed by your operations team.
- D. Use regional managed instance groups and a global load balancer to increase reliability by providing automatic failover between zones in different regions.
Answer: A
Explanation:
Explanation/Reference:
Dress4Win, B
Testlet 1
Company Overview
Dress4Win is a web-based company that helps their users organize and manage their personal wardrobe using a web app and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium app model. The application has grown from a few servers in the founder's garage to several hundred servers and appliances in a colocated data center. However, the capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth and the company's desire to innovate faster, Dress4Win is committing to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4Win is moving their development and test environments. They are also building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and which components they need to change before migrating them.
Existing Technical Environment
The Dress4Win application is served out of a single data center location. All servers run Ubuntu LTS v16.04.
Databases:
* MySQL. 1 server for user data, inventory, static data:
- MySQL 5.8
- 8 core CPUs
- 128 GB of RAM
- 2x 5 TB HDD (RAID 1)
* Redis 3 server cluster for metadata, social graph, caching. Each server is:
- Redis 3.2
- 4 core CPUs
- 32GB of RAM
Compute:
* 40 Web Application servers providing micro-services based APIs and static content.
- Tomcat - Java
- Nginx
- 4 core CPUs
- 32 GB of RAM
* 20 Apache Hadoop/Spark servers:
- Data analysis
- Real-time trending calculations
- 8 core CPUs
- 128 GB of RAM
- 4x 5 TB HDD (RAID 1)
* 3 RabbitMQ servers for messaging, social notifications, and events:
- 8 core CPUs
- 32GB of RAM
* Miscellaneous servers:
- Jenkins, monitoring, bastion hosts, security scanners
- 8 core CPUs
- 32GB of RAM
Storage appliances:
* iSCSI for VM hosts
* Fiber channel SAN - MySQL databases
- 1 PB total storage; 400 TB available
* NAS - image storage, logs, backups
- 100 TB total storage; 35 TB available
Business Requirements
* Build a reliable and reproducible environment with scaled parity of production.
* Improve security by defining and adhering to a set of security and Identity and Access Management (IAM) best practices for cloud.
* Improve business agility and speed of innovation through rapid provisioning of new resources.
* Analyze and optimize architecture for performance in the cloud.
Technical Requirements
* Easily create non-production environments in the cloud.
* Implement an automation framework for provisioning resources in cloud.
* Implement a continuous deployment process for deploying applications to the on-premises datacenter or cloud.
* Support failover of the production environment to cloud during an emergency.
* Encrypt data on the wire and at rest.
* Support multiple private connections between the production data center and cloud environment.
Executive Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a competitor could use a public cloud platform to offset their up-front investment and free them to focus on developing better features. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost of ownership (TCO) analysis over the next 5 years for a public cloud strategy achieves a cost reduction between 30% and 50% over our current model.
NEW QUESTION # 87
For this question, refer to the TerramEarth case study. You need to implement a reliable, scalable GCP solution for the data warehouse for your company, TerramEarth. Considering the TerramEarth business and technical requirements, what should you do?
- A. Replace the existing data warehouse with BigQuery. Use federated data sources.
- B. Replace the existing data warehouse with a Compute Engine instance with 96 CPUs.
- C. Replace the existing data warehouse with a Compute Engine instance with 96 CPUs. Add an additional Compute Engine pre-emptible instance with 32 CPUs.
- D. Replace the existing data warehouse with BigQuery. Use table partitioning.
Answer: A
NEW QUESTION # 88
A small number of API requests to your microservices-based application take a very long time. You know that each request to the API can traverse many services. You want to know which service takes the longest in those cases.
What should you do?
- A. Send custom metrics for each of your requests to Stackdriver Monitoring
- B. Use Stackdriver Monitoring to look for insights that show when your API latencies are high
- C. Instrument your application with Stackdriver Trace in order to break down the request latencies at each microservice
- D. Set timeouts on your application so that you can fail requests faster
Answer: C
Explanation:
Explanation/Reference:
References: https://cloud.google.com/trace/docs/quickstart#find_a_trace
NEW QUESTION # 89
A small number of API requests to your microservices-based application take a very long time. You know that each request to the API can traverse many services. You want to know which service takes the longest in those cases. What should you do?
- A. Instrument your application with Stackdnver Trace in order to break down the request latencies at each microservice.
- B. Use Stackdriver Monitoring to look for insights that show when your API latencies are high.
- C. Send custom metrics for each of your requests to Stackdriver Monitoring.
- D. Set timeouts on your application so that you can fail requests faster.
Answer: A
NEW QUESTION # 90
Your company places a high value on being responsive and meeting customer needs quickly. Their primary business objectives are release speed and agility. You want to reduce the chance of security errors being accidentally introduced.
Which two actions can you take? Choose 2 answers.
- A. Ensure you have stubs to unit test all interfaces between components
- B. Ensure every code check-in is peer reviewed by a security SME
- C. Use source code security analyzers as part of the CI/CD pipeline
- D. Run a vulnerability security scanner as part of your continuous-integration /continuous-delivery (CI/CD) pipeline
- E. Enable code signing and a trusted binary repository integrated with your CI/CD pipeline
Answer: C,D
NEW QUESTION # 91
During a high traffic portion of the day, one of your relational databases crashes, but the replica is never promoted to a master. You want to avoid this in the future. What should you do?
- A. Use a different database.
- B. Choose larger instances for your database.
- C. Implement routinely scheduled failovers of your databases.
- D. Create snapshots of your database more regularly.
Answer: C
Explanation:
Reference:
https://cloud.google.com/solutions/dr-scenarios-planning-guide
NEW QUESTION # 92
Your company's test suite is a custom C++ application that runs tests throughout each day on Linux virtual machines. The full test suite takes several hours to complete, running on a limited number of on premises servers reserved for testing. Your company wants to move the testing infrastructure to the cloud, to reduce the amount of time it takes to fully test a change to the system, while changing the tests as little as possible. Which cloud infrastructure should you recommend?
- A. Google App Engine with Google Stackdriver for logging
- B. Google Cloud Dataproc to run Apache Hadoop jobs to process each test
- C. Google Compute Engine unmanaged instance groups and Network Load Balancer
- D. Google Compute Engine managed instance groups with auto-scaling
Answer: D
Explanation:
Explanation
https://cloud.google.com/compute/docs/instance-groups/
Google Compute Engine enables users to launch virtual machines (VMs) on demand. VMs can be launched from the standard images or custom images created by users.
Managed instance groups offer autoscaling capabilities that allow you to automatically add or remove instances from a managed instance group based on increases or decreases in load. Autoscaling helps your applications gracefully handle increases in traffic and reduces cost when the need for resources is lower.
NEW QUESTION # 93
You want to enable your running Google Container Engine cluster to scale as demand for your application changes. What should you do?
- A. Option A
- B. Option D
- C. Option B
- D. Option C
Answer: A
NEW QUESTION # 94
For this question, refer to the EHR Healthcare case study. EHR has single Dedicated Interconnect connection between their primary data center and Googles network. This connection satisfies EHR's network and security policies:
* On-premises servers without public IP addresses need to connect to cloud resources without public IP addresses
* Traffic flows from production network mgmt. servers to Compute Engine virtual machines should never traverse the public internet.
You need to upgrade the EHR connection to comply with their requirements. The new connection design must support business critical needs and meet the same network and security policy requirements. What should you do?
- A. Upgrade the bandwidth on the Dedicated Interconnect connection to 100 G
- B. Add a new Dedicated Interconnect connection
- C. Add a new Carrier Peering connection
- D. Add three new Cloud VPN connections
Answer: B
Explanation:
Explanation
The case does not call out the throughput being an issue. However, to achieve 99.99%, you need to have 4 connections as per Google recommendations. However, in the options only A has the option to add an additional Interconnect connection.
https://cloud.google.com/network-connectivity/docs/interconnect/concepts/dedicated-overview#availability
NEW QUESTION # 95
Your company has a networking team and a development team. The development team runs applications on Compute Engine instances that contain sensitive data. The development team requires administrative permissions for Compute Engine. Your company requires all network resources to be managed by the networking team. The development team does not want the networking team to have access to the sensitive data on the instances. What should you do?
- A. 1. Create a project with a standalone VPC and assign the Network Admin role to the networking team.
2.Create a second project with a standalone VPC and assign the Compute Admin role to the development team.
3.Use Cloud VPN to join the two VPCs. - B. 1. Create a project with a standalone VPC and assign the Network Admin role to the networking team.
2.Create a second project with a standalone VPC and assign the Compute Admin role to the development team.
3.Use VPC Peering to join the two VPCs. - C. 1. Create a project with a standalone Virtual Private Cloud (VPC), assign the Network Admin role to the networking team, and assign the Compute Admin role to the development team.
- D. 1. Create a project with a Shared VPC and assign the Network Admin role to the networking team.
2. Create a second project without a VPC, configure it as a Shared VPC service project, and assign the Compute Admin role to the development team.
Answer: D
Explanation:
Explanation
In this scenario, a large organization has a central team that manages security and networking controls for the entire organization. Developers do not have permissions to make changes to any network or security settings defined by the security and networking team but they are granted permission to create resources such as virtual machines in shared subnets. To facilitate this the organization makes use of a shared VPC (Virtual Private Cloud). A shared VPC allows creation of a VPC network of RFC 1918 IP spaces that associated projects (service projects) can then use. Developers using the associated projects can create VM instances in the shared VPC network spaces. The organization's network and security admins can create subnets, VPNs, and firewall rules usable by all the projects in the VPC network.
https://cloud.google.com/iam/docs/job-functions/networking#single_team_manages_security_network_for_organ Reference: https://cloud.google.com/vpc/docs/shared-vpc
NEW QUESTION # 96
Your organization has a 3-tier web application deployed in the same network on Google Cloud Platform.
Each tier (web, API, and database) scales independently of the others. Network traffic should flow through the web to the API tier and then on to the database tier. Traffic should not flow between the web and the database tier.
How should you configure the network?
- A. Add each tier to a different subnetwork
- B. Add tags to each tier and set up routes to allow the desired traffic flow
- C. Add tags to each tier and set up firewall rules to allow the desired traffic flow
- D. Set up software based firewalls on individual VMs
Answer: C
Explanation:
Google Cloud Platform(GCP) enforces firewall rules through rules and tags. GCP rules and tags can be defined once and used across all regions.
Reference: https://cloud.google.com/docs/compare/openstack/
https://aws.amazon.com/it/blogs/aws/building-three-tier-architectures-with-security-groups/
NEW QUESTION # 97
Google Cloud Platform resources are managed hierarchically using organization, folders, and projects.
When Cloud Identity and Access Management (IAM) policies exist at these different levels, what is the effective policy at a particular node of the hierarchy?
- A. The effective policy is the policy set at the node and restricted by the policies of its ancestors
- B. The effective policy is the union of the policy set at the node and policies inherited from its ancestors
- C. The effective policy is the intersection of the policy set at the node and policies inherited from its ancestors
- D. The effective policy is determined only by the policy set at the node
Answer: B
Explanation:
Explanation/Reference: https://cloud.google.com/resource-manager/docs/cloud-platform-resource-hierarchy
NEW QUESTION # 98
You have a Python web application with many dependencies that requires 0.1 CPU cores and 128 MB of memory to operate in production. You want to monitor and maximize machine utilization. You also to reliably deploy new versions of the application. Which set of steps should you take?
- A. Perform the following:
1) Create a Kubernetes Engine cluster with n1-standard-1 type machines.
2) Build a Docker image from the production branch with all of the dependencies, and tag it with the
3) Create a Kubernetes Deployment with the imagePullPolicy set to "IfNotPresent" in the staging namespace, and then promote it to the production namespace after testing. - B. Perform the following:
1) Create a Kubernetes Engine cluster with n1-standard-4 type machines.
2) Build a Docker image from the master branch will all of the dependencies, and tag it with "latest".
3) Create a Kubernetes Deployment in the default namespace with the imagePullPolicy set to "Always".
Restart the pods to automatically deploy new production releases. - C. Perform the following:
1) Create a managed instance group with n1-standard-1 type machines.
2) Build a Compute Engine image from the production branch that contains all of the dependencies and automatically starts the Python app.
3) Rebuild the Compute Engine image, and update the instance template to deploy new production releases. - D. Perform the following:
1) Create a managed instance group with f1-micro type machines.
2) Use a startup script to clone the repository, check out the production branch, install the dependencies, and start the Python app.
3) Restart the instances to automatically deploy new production releases.
Answer: B
Explanation:
https://cloud.google.com/compute/docs/instance-templates
NEW QUESTION # 99
Your company has decided to make a major revision of their API in order to create better experiences for their developers. They need to keep the old version of the API available and deployable, while allowing new customers and testers to try out the new API. They want to keep the same SSL and DNS records in place to serve both APIs. What should they do?
- A. Configure a new load balancer for the new version of the API.
- B. Reconfigure old clients to use a new endpoint for the new API.
- C. Use separate backend pools for each API path behind the load balancer.
- D. Have the old API forward traffic to the new API based on the path.
Answer: C
Explanation:
https://cloud.google.com/endpoints/docs/openapi/lifecycle-management
NEW QUESTION # 100
You need to set up Microsoft SQL Server on GCP. Management requires that there's no downtime in case of a data center outage in any of the zones within a GCP region. What should you do?
- A. Configure a Cloud SQL instance with high availability enabled.
- B. Configure a Cloud Spanner instance with a regional instance configuration.
- C. Set up SQL Server on Compute Engine, using Always On Availability Groups using Windows Failover Clustering. Place nodes in different subnets.
- D. Set up SQL Server Always On Availability Groups using Windows Failover Clustering. Place nodes in different zones.
Answer: D
Explanation:
Explanation
https://cloud.google.com/vpc/docs/vpc
NEW QUESTION # 101
Your company is running a stateless application on a Compute Engine instance. The application is used heavily during regular business hours and lightly outside of business hours. Users are reporting that the application is slow during peak hours. You need to optimize the application's performance. What should you do?
- A. Create a snapshot of the existing disk. Create an instance template from the snapshot. Create an autoscaled managed instance group from the instance template.
- B. Create an instance template from the existing disk. Create a custom image from the instance template.
Create an autoscaled managed instance group from the custom image. - C. Create a snapshot of the existing disk. Create a custom image from the snapshot. Create an autoscaled managed instance group from the custom image.
- D. Create a custom image from the existing disk. Create an instance template from the custom image. Create an autoscaled managed instance group from the instance template.
Answer: C
Explanation:
https://cloud.google.com/compute/docs/instance-templates/create-instance-templates
NEW QUESTION # 102
Your company wants to track whether someone is present in a meeting room reserved for a scheduled meeting. There are 1000 meeting rooms across 5 offices on 3 continents. Each room is equipped with a motion sensor that reports its status every second. The data from the motion detector includes only a sensor ID and several different discrete items of information. Analysts will use this data, together with information about account owners and office locations.
Which database type should you use?
- A. Flat file
- B. NoSQL
- C. Blobstore
- D. Relational
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Relational databases were not designed to cope with the scale and agility challenges that face modern applications, nor were they built to take advantage of the commodity storage and processing power available today.
NoSQL fits well for:
Developers are working with applications that create massive volumes of new, rapidly changing data
types - structured, semi-structured, unstructured and polymorphic data.
Incorrect Answers:
D: The Blobstore API allows your application to serve data objects, called blobs, that are much larger than the size allowed for objects in the Datastore service. Blobs are useful for serving large files, such as video or image files, and for allowing users to upload large data files.
References: https://www.mongodb.com/nosql-explained
NEW QUESTION # 103
You are tasked with building an online analytical processing (OLAP) marketing analytics and reporting tool. This requires a relational database that can operate on hundreds of terabytes of data. What is the Google- recommended tool for such applications?
- A. Cloud SQL, because it is a fully managed relational database
- B. BigQuery, because it is designed for large-scale processing of tabular data
- C. Cloud Firestore, because it offers real-time synchronization across devices
- D. Cloud Spanner, because it is globally distributed
Answer: B
Explanation:
Because this requires a relational database
https://cloud.google.com/files/BigQueryTechnicalWP.pdf
BigQuery is relational database and suport OLAP
Cloud Spanner OLTP
NEW QUESTION # 104
An application development team believes their current logging tool will not meet their needs for their new cloud-based product. They want a bettor tool to capture errors and help them analyze their historical log dat a. You want to help them find a solution that meets their needs, what should you do?
- A. Help them upgrade their current tool to take advantage of any new features.
- B. Send them a list of online resources about logging best practices.
- C. Help them define their requirements and assess viable logging tools.
- D. Direct them to download and install the Google StackDriver logging agent.
Answer: C
Explanation:
Reference:
Help them define their requirements and assess viable logging tools. They know the requirements and the existing tools' problems. While it's true StackDriver Logging and Error Reporting possibly meet all their requirements, there might be other tools also meet their need. They need you to provide expertise to make assessment for new tools, specifically, logging tools that can "capture errors and help them analyze their historical log data".
References: https://cloud.google.com/logging/docs/agent/installation
NEW QUESTION # 105
You are migrating your on-premises solution to Google Cloud in several phases. You will use Cloud VPN to maintain a connection between your on-premises systems and Google Cloud until the migration is completed.
You want to make sure all your on-premises systems remain reachable during this period. How should you organize your networking in Google Cloud?
- A. Use the same IP range on Google Cloud as you use on-premises for your primary IP range and use a secondary range that does not overlap with the range you use on-premises
- B. Use an IP range on Google Cloud that does not overlap with the range you use on-premises
- C. Use the same IP range on Google Cloud as you use on-premises
- D. Use an IP range on Google Cloud that does not overlap with the range you use on-premises for your primary IP range and use a secondary range with the same IP range as you use on-premises
Answer: D
NEW QUESTION # 106
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