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NEW QUESTION 151
You have an App Engine application that needs to be updated. You want to test the update with production traffic before replacing the current application version.
What should you do?
- A. Deploy the update in a new VPC, and use Google's global HTTP load balancing to split traffic between the update and current applications.
- B. Deploy the update as a new App Engine application, and use Google's global HTTP load balancing to split traffic between the new and current applications.
- C. Deploy the update as a new version in the App Engine application, and split traffic between the new and current versions.
- D. Deploy the update using the Instance Group Updater to create a partial rollout, which allows for canary testing.
Answer: B
NEW QUESTION 152
Case Study: 7 - Mountkirk Games
Company Overview
Mountkirk Games makes online, session-based, multiplayer games for mobile platforms. They build all of their games using some server-side integration. Historically, they have used cloud providers to lease physical servers.
Due to the unexpected popularity of some of their games, they have had problems scaling their global audience, application servers, MySQL databases, and analytics tools.
Their current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting.
Solution Concept
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics, and take advantage of its autoscaling server environment and integrate with a managed NoSQL database.
Business Requirements
Increase to a global footprint.
Improve uptime - downtime is loss of players.
Increase efficiency of the cloud resources we use.
Reduce latency to all customers.
Technical Requirements
Requirements for Game Backend Platform
Dynamically scale up or down based on game activity.
Connect to a transactional database service to manage user profiles and game state.
Store game activity in a timeseries database service for future analysis.
As the system scales, ensure that data is not lost due to processing backlogs.
Run hardened Linux distro.
Requirements for Game Analytics Platform
Dynamically scale up or down based on game activity
Process incoming data on the fly directly from the game servers
Process data that arrives late because of slow mobile networks
Allow queries to access at least 10 TB of historical data
Process files that are regularly uploaded by users' mobile devices
Executive Statement
Our last successful game did not scale well with our previous cloud provider, resulting in lower user adoption and affecting the game's reputation. Our investors want more key performance indicators (KPIs) to evaluate the speed and stability of the game, as well as other metrics that provide deeper insight into usage patterns so we can adapt the game to target users.
Additionally, our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to an environment that provides autoscaling, low latency load balancing, and frees us up from managing physical servers.
For this question, refer to the Mountkirk Games case study. You need to analyze and define the technical architecture for the compute workloads for your company, Mountkirk Games.
Considering the Mountkirk Games business and technical requirements, what should you do?
- A. Create a global load balancer with managed instance groups and autoscaling policies. Use preemptible Compute Engine instances.
- B. Create network load balancers. Use preemptible Compute Engine instances.
- C. Create network load balancers. Use non-preemptible Compute Engine instances.
- D. Create a global load balancer with managed instance groups and autoscaling policies. Use non- preemptible Compute Engine instances.
Answer: D
NEW QUESTION 153
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. Have the old API forward traffic to the new API based on the path.
- C. Reconfigure old clients to use a new endpoint for the new API.
- D. Use separate backend pools for each API path behind the load balancer.
Answer: C
Explanation:
https://cloud.google.com/endpoints/docs/openapi/lifecycle-management
NEW QUESTION 154
An application development team has come to you for advice.They are planning to write and deploy an HTTP(S) API using Go 1.12. The API will have a very unpredictable workload and must remain reliable during peaks in traffic. They want to minimize operational overhead for this application. What approach should you recommend?
- A. Develop the application for App Engine Flexible environment using a custom runtime
- B. Develop an application with containers, and deploy to Google Kubernetes Engine (GKE)
- C. Use a Managed Instance Group when deploying to Compute Engine
- D. Develop the application for App Engine standard environment
Answer: D
Explanation:
https://cloud.google.com/appengine/docs/the-appengine-environments
NEW QUESTION 155
A few days after JencoMart migrates the user credentials database to Google Cloud Platform and shuts down the old server, the new database server stops responding to SSH connections. It is still serving database requests to the application servers correctly.
What three steps should you take to diagnose the problem? (Choose three.)
- A. Delete the virtual machine (VM) and disks and create a new one
- B. Check inbound firewall rules for the network the machine is connected to
- C. Take a snapshot of the disk and connect to a new machine to investigate
- D. Print the Serial Console output for the instance for troubleshooting, activate the interactive console, and investigate
- E. Connect the machine to another network with very simple firewall rules and investigate
- F. Delete the instance, attach the disk to a new VM, and investigate
Answer: B,C,D
Explanation:
D: Handling "Unable to connect on port 22" error message
Possible causes include:
* There is no firewall rule allowing SSH access on the port. SSH access on port 22 is enabled on all Compute Engine instances by default. If you have disabled access, SSH from the Browser will not work. If you run sshd on a port other than 22, you need to enable the access to that port with a custom firewall rule.
* The firewall rule allowing SSH access is enabled, but is not configured to allow connections from GCP Console services. Source IP addresses for browser-based SSH sessions are dynamically allocated by GCP Console and can vary from session to session.
F: Handling "Could not connect, retrying..." error
You can verify that the daemon is running by navigating to the serial console output page and looking for output lines prefixed with the accounts-from-metadata: string. If you are using a standard image but you do not see these output prefixes in the serial console output, the daemon might be stopped. Reboot the instance to restart the daemon.
Reference:
https://cloud.google.com/compute/docs/ssh-in-browser
https://cloud.google.com/compute/docs/ssh-in-browser
NEW QUESTION 156
Your company just finished a rapid lift and shift to Google Compute Engine for your compute needs. You have another 9 months to design and deploy a more cloud-native solution. Specifically, you want a system that is no-ops and auto-scaling. Which two compute products should you choose? Choose 2 answers
- A. Google Kubernetes Engine with containers
- B. Compute Engine with containers
- C. Google App Engine Standard Environment
- D. Compute Engine with managed instance groups
- E. Compute Engine with custom instance types
Answer: A,C
Explanation:
B: With Container Engine, Google will automatically deploy your cluster for you, update, patch, secure the nodes.
Kubernetes Engine's cluster autoscaler automatically resizes clusters based on the demands of the workloads you want to run.
C: Solutions like Datastore, BigQuery, AppEngine, etc are truly NoOps.
App Engine by default scales the number of instances running up and down to match the load, thus providing consistent performance for your app at all times while minimizing idle instances and thus reducing cost.
Note: At a high level, NoOps means that there is no infrastructure to build out and manage during usage of the platform. Typically, the compromise you make with NoOps is that you lose control of the underlying infrastructure.
References:
https://www.quora.com/How-well-does-Google-Container-Engine-support-Google-Cloud-Platform%E2%80%99s-NoOps-claim
NEW QUESTION 157
You want to optimize the performance of an accurate, real-time, weather-charting application. The data comes from 50,000 sensors sending 10 readings a second, in the format of a timestamp and sensor reading. Where should you store the data?
- A. Google BigQuery
- B. Google Cloud Storage
- C. Google Cloud Bigtable
- D. Google Cloud SQL
Answer: B
NEW QUESTION 158
The application reliability team at your company has added a debug feature to their backend service to send all server events to Google Cloud Storage for eventual analysis. The event records are at least 50 KB and at most
15 MB and are expected to peak at 3,000 events per second. You want to minimize data loss.
Which process should you implement?
- A. * Compress individual files.
* Name files with serverName-EventSequence.
* Save files to one bucket
* Set custom metadata headers for each object after saving. - B. * Batch every 10,000 events with a single manifest file for metadata.
* Compress event files and manifest file into a single archive file.
* Name files using serverName-EventSequence.
* Create a new bucket if bucket is older than 1 day and save the single archive file to the new bucket.
Otherwise, save the single archive file to existing bucket. - C. * Append metadata to file body.
* Compress individual files.
* Name files with a random prefix pattern.
* Save files to one bucket - D. * Append metadata to file body.
* Compress individual files.
* Name files with serverName-Timestamp.
* Create a new bucket if bucket is older than 1 hour and save individual files to the new bucket.
Otherwise, save files to existing bucket
Answer: C
Explanation:
Explanation
In order to maintain a high request rate, avoid using sequential names. Using completely random object names will give you the best load distribution. Randomness after a common prefix is effective under the prefix
https://cloud.google.com/storage/docs/request-rate
NEW QUESTION 159
Your customer is receiving reports that their recently updated Google App Engine application is taking approximately 30 seconds to load for some of their users. This behavior was not reported before the update. What strategy should you take?
- A. Roll back to an earlier known good release, then push the release again at a quieter period to investigate. Then use Stackdriver Trace and logging to diagnose the problem.
- B. Open a support ticket to ask for network capture and flow data to diagnose the problem, then roll back your application.
- C. Work with your ISP to diagnose the problem.
- D. Roll back to an earlier known good release initially, then use Stackdriver Trace and logging to diagnose the problem in a development/test/staging environment.
Answer: D
Explanation:
Stackdriver Logging allows you to store, search, analyze, monitor, and alert on log data and events from Google Cloud Platform and Amazon Web Services (AWS). Our API also allows ingestion of any custom log data from any source. Stackdriver Logging is a fully managed service that performs at scale and can ingest application and system log data from thousands of VMs. Even better, you can analyze all that log data in real time.
References: https://cloud.google.com/logging/
NEW QUESTION 160
Your web application has several VM instances running within a VPC. You want to restrict communications between instances to only the paths and ports you authorize, but you don't want to rely on static IP addresses or subnets because the app can autoscale. How should you restrict communications?
- A. Use service accounts and configure the web application to authorize particular service accounts to have access
- B. Use firewall rules based on network tags attached to the compute instances
- C. Use separate VPCs to restrict traffic
- D. Use Cloud DNS and only allow connections from authorized hostnames
Answer: B
NEW QUESTION 161
You analyzed TerramEarth's business requirement to reduce downtime, and found that they can achieve a majority of time saving by reducing customer's wait time for parts. You decided to focus on reduction of the
3 weeks aggregate reporting time.
Which modifications to the company's processes should you recommend?
- A. Migrate from FTP to streaming transport, migrate from CSV to binary format, and develop machine learning analysis of metrics
- B. Increase fleet cellular connectivity to 80%, migrate from FTP to streaming transport, and develop machine learning analysis of metrics
- C. Migrate from FTP to SFTP transport, develop machine learning analysis of metrics, and increase dealer local inventory by a fixed factor
- D. Migrate from CSV to binary format, migrate from FTP to SFTP transport, and develop machine learning analysis of metrics
Answer: B
Explanation:
The Avro binary format is the preferred format for loading compressed data. Avro data is faster to load because the data can be read in parallel, even when the data blocks are compressed.
Cloud Storage supports streaming transfers with the gsutil tool or boto library, based on HTTP chunked transfer encoding. Streaming data lets you stream data to and from your Cloud Storage account as soon as it becomes available without requiring that the data be first saved to a separate file. Streaming transfers are useful if you have a process that generates data and you do not want to buffer it locally before uploading it, or if you want to send the result from a computational pipeline directly into Cloud Storage.
Reference: https://cloud.google.com/storage/docs/streaming
https://cloud.google.com/bigquery/docs/loading-data
NEW QUESTION 162
TerramEarth has about 1 petabyte (PB) of vehicle testing data in a private data center. You want to move the data to Cloud Storage for your machine learning team. Currently, a 1-Gbps interconnect link is available for you. The machine learning team wants to start using the data in a month. What should you do?
- A. Request Transfer Appliances from Google Cloud, export the data to appliances, and return the appliances to Google Cloud.
- B. Configure the Storage Transfer service from Google Cloud to send the data from your data center to Cloud Storage
- C. Export files to an encrypted USB device, send the device to Google Cloud, and request an import of the data to Cloud Storage
- D. Make sure there are no other users consuming the 1 Gbps link, and use multi-thread transfer to upload the data to Cloud Storage.
Answer: A
Explanation:
Topic 7, Mountkrik Games Case 2
Company Overview
Mountkirk Games makes online, session-based, multiplayer games for mobile platforms. They build all of their games using some server-side integration. Historically, they have used cloud providers to lease physical servers.
Due to the unexpected popularity of some of their games, they have had problems scaling their global audience, application servers, MySQL databases, and analytics tools.
Their current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting.
Solution Concept
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics, and take advantage of its autoscaling server environment and integrate with a managed NoSQL database.
Business Requirements
Increase to a global footprint.
Improve uptime - downtime is loss of players.
Increase efficiency of the cloud resources we use.
Reduce latency to all customers.
Technical Requirements
Requirements for Game Backend Platform
Dynamically scale up or down based on game activity.
Connect to a transactional database service to manage user profiles and game state.
Store game activity in a timeseries database service for future analysis.
As the system scales, ensure that data is not lost due to processing backlogs.
Run hardened Linux distro.
Requirements for Game Analytics Platform
Dynamically scale up or down based on game activity
Process incoming data on the fly directly from the game servers
Process data that arrives late because of slow mobile networks
Allow queries to access at least 10 TB of historical data
Process files that are regularly uploaded by users' mobile devices
Executive Statement
Our last successful game did not scale well with our previous cloud provider, resulting in lower user adoption and affecting the game's reputation. Our investors want more key performance indicators (KPIs) to evaluate the speed and stability of the game, as well as other metrics that provide deeper insight into usage patterns so we can adapt the game to target users. Additionally, our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to an environment that provides autoscaling, low latency load balancing, and frees us up from managing physical servers.
NEW QUESTION 163
Your web application must comply with the requirements of the European Union's General Data Protection Regulation (GDPR). You are responsible for the technical architecture of your web application. What should you do?
- A. Enable the relevant GDPR compliance setting within the GCPConsole for each of the services in use within your application.
- B. Ensure that your web application only uses native features and services of Google Cloud Platform, because Google already has various certifications and provides "pass-on" compliance when you use native features.
- C. Define a design for the security of data in your web application that meets GDPR requirements.
- D. Ensure that Cloud Security Scanner is part of your test planning strategy in order to pick up any compliance gaps.
Answer: C
Explanation:
Explanation/Reference: https://www.mobiloud.com/blog/gdpr-compliant-mobile-app/
NEW QUESTION 164
At Dress4Win, an operations engineer wants to create a tow-cost solution to remotely archive copies of database backup files.
The database files are compressed tar files stored in their current data center.
How should he proceed?
- A. Create a Cloud Storage Transfer Service job to copy the files to a Regional Storage bucket.
- B. Create a cron script using gsutil to copy the files to a Regional Storage bucket.
- C. Create a cron script using gsutil to copy the files to a Coldline Storage bucket.
- D. Create a Cloud Storage Transfer Service Job to copy the files to a Coldline Storage bucket.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
Follow these rules of thumb when deciding whether to use gsutil or Storage Transfer Service:
* When transferring data from an on-premises location, use gsutil.
* When transferring data from another cloud storage provider, use Storage Transfer Service.
* Otherwise, evaluate both tools with respect to your specific scenario.
Use this guidance as a starting point.
The specific details of your transfer scenario will also help you determine which tool is more appropriate.
NEW QUESTION 165
Your company is forecasting a sharp increase in the number and size of Apache Spark and Hadoop jobs being run on your local datacenter. You want to utilize the cloud to help you scale this upcoming demand with the least amount of operations work and code change.
Which product should you use?
- A. Google Cloud Dataflow
- B. Google Container Engine
- C. Google Cloud Dataproc
- D. Google Compute Engine
Answer: C
Explanation:
Explanation/Reference:
Explanation:
Google Cloud Dataproc is a fast, easy-to-use, low-cost and fully managed service that lets you run the Apache Spark and Apache Hadoop ecosystem on Google Cloud Platform. Cloud Dataproc provisions big or small clusters rapidly, supports many popular job types, and is integrated with other Google Cloud Platform services, such as Google Cloud Storage and Stackdriver Logging, thus helping you reduce TCO.
References: https://cloud.google.com/dataproc/docs/resources/faq
NEW QUESTION 166
Your company just finished a rapid lift and shift to Google Compute Engine for your compute needs. You have another 9 months to design and deploy a more cloud-native solution. Specifically, you want a system that is no-ops and auto-scaling. Which two compute products should you choose? Choose 2 answers
- A. Google Kubernetes Engine with containers
- B. Compute Engine with containers
- C. Google App Engine Standard Environment
- D. Compute Engine with managed instance groups
- E. Compute Engine with custom instance types
Answer: A,C
Explanation:
Explanation
B: With Container Engine, Google will automatically deploy your cluster for you, update, patch, secure the nodes.
Kubernetes Engine's cluster autoscaler automatically resizes clusters based on the demands of the workloads you want to run.
C: Solutions like Datastore, BigQuery, AppEngine, etc are truly NoOps.
App Engine by default scales the number of instances running up and down to match the load, thus providing consistent performance for your app at all times while minimizing idle instances and thus reducing cost.
Note: At a high level, NoOps means that there is no infrastructure to build out and manage during usage of the platform. Typically, the compromise you make with NoOps is that you lose control of the underlying infrastructure.
References:
https://www.quora.com/How-well-does-Google-Container-Engine-support-Google-Cloud-Platform%E2%80%99
NEW QUESTION 167
The Dress4Win security team has disabled external SSH access into production virtual machines (VMs) on Google Cloud Platform (GCP).
The operations team needs to remotely manage the VMs, build and push Docker containers, and manage Google Cloud Storage objects.
What can they do?
- A. Develop a new access request process that grants temporary SSH access to cloud VMs when an operations engineer needs to perform a task.
- B. Grant the operations engineer access to use Google Cloud Shell.
- C. Configure a VPN connection to GCP to allow SSH access to the cloud VMs.
- D. Have the development team build an API service that allows the operations team to execute specific remote procedure calls to accomplish their tasks.
Answer: C
NEW QUESTION 168
Your customer runs a web service used by e-commerce sites to offer product recommendations to users.
the company has begun experimenting with a machine learning model on Google Cloud Platform to
improve the quality of results.
What should the customer do to improve their model's results over time?
- A. Export Cloud Machine Learning Engine performance metrics from Stackdriver to BigQuery, to be used
to analyze the efficiency of the model. - B. Build a roadmap to move the machine learning model training from Cloud GPUs to Cloud TPUs, which
offer better results. - C. Save a history of recommendations and results of the recommendations in BigQuery, to be used as
training data. - D. Monitor Compute Engine announcements for availability of newer CPU architectures, and deploy the
model to them as soon as they are available for additional performance.
Answer: B
NEW QUESTION 169
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 Compute Engine unmanaged instance groups and Network Load Balancer
- B. Google Cloud Dataproc to run Apache Hadoop jobs to process each test
- C. Google App Engine with Google StackDriver for logging
- D. Google Compute Engine managed instance groups with auto-scaling
Answer: D
Explanation:
Explanation/Reference:
Explanation:
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.
Incorrect Answers:
B: There is no mention of incoming IP data traffic for the custom C++ applications.
C: Apache Hadoop is not fit for testing C++ applications. Apache Hadoop is an open-source software
framework used for distributed storage and processing of datasets of big data using the MapReduce
programming model.
D: Google App Engine is intended to be used for web applications.
Google App Engine (often referred to as GAE or simply App Engine) is a web framework and cloud
computing platform for developing and hosting web applications in Google-managed data centers.
References: https://cloud.google.com/compute/docs/autoscaler/
NEW QUESTION 170
For this question, refer to the TerramEarth case study.
TerramEarth's 20 million vehicles are scattered around the world. Based on the vehicle's location its telemetry data is stored in a Google Cloud Storage (GCS) regional bucket (US. Europe, or Asia). The CTO has asked you to run a report on the raw telemetry data to determine why vehicles are breaking down after 100 K miles. You want to run this job on all the dat a. What is the most cost-effective way to run this job?
- A. Move all the data into 1 region, then launch a Google Cloud Dataproc cluster to run the job.
- B. Launch a cluster in each region to preprocess and compress the raw data, then move the data into a multi region bucket and use a Dataproc cluster to finish the job.
- C. Launch a cluster in each region to preprocess and compress the raw data, then move the data into a region bucket and use a Cloud Dataproc cluster to finish the jo
- D. Move all the data into 1 zone, then launch a Cloud Dataproc cluster to run the job.
Answer: C
Explanation:
Storageguarantees 2 replicates which are geo diverse (100 miles apart) which can get better remote latency and availability.
More importantly, is that multiregional heavily leverages Edge caching and CDNs to provide the content to the end users.
All this redundancy and caching means that Multiregional comes with overhead to sync and ensure consistency between geo-diverse areas. As such, it's much better for write-once-read-many scenarios. This means frequently accessed (e.g. "hot" objects) around the world, such as website content, streaming videos, gaming or mobile applications.
References: https://medium.com/google-cloud/google-cloud-storage-what-bucket-class-for-the-best-performance-5c847ac8f9f2
NEW QUESTION 171
You are building a continuous deployment pipeline for a project stored in a Git source repository and want to ensure that code changes can be verified deploying to production. What should you do?
- A. Use Spinnaker to deploy builds to production using the red/black deployment strategy so that changes can easily be rolled back.
- B. Use Jenkins to monitor tags in the repository. Deploy staging tags to a staging environment for testing.
After testing, tag the repository for production and deploy that to the production environment. - C. Use Spinnaker to deploy builds to production and run tests on production deployments.
- D. Use Jenkins to build the staging branches and the master branch. Build and deploy changes to production for 10% of users before doing a complete rollout.
Answer: D
NEW QUESTION 172
You are developing your microservices application on Google Kubernetes Engine. During testing, you want to validate the behavior of your application in case a specific microservice should suddenly crash. What should you do?
- A. Destroy one of the nodes of the Kubernetes cluster to observe the behavior.
- B. Add a taint to one of the nodes of the Kubernetes cluster. For the specific microservice, configure a pod anti-affinity label that has the name of the tainted node as a value.
- C. Use Istio's fault injection on the particular microservice whose faulty behavior you want to simulate.
- D. Configure Istio's traffic management features to steer the traffic away from a crashing microservice.
Answer: A
NEW QUESTION 173
You want to make a copy of a production Linux virtual machine in the US-Central region. You want to manage and replace the copy easily if there are changes on the production virtual machine. You will deploy the copy as a new instance in a different project in the US-East region.
What steps must you take?
- A. Create an image file from the root disk with Linux dd command, create a new virtual machine instance in the US-East region
- B. Create a snapshot of the root disk, create an image file in Google Cloud Storage from the snapshot, and create a new virtual machine instance in the US-East region using the image file the root disk.
- C. Create a snapshot of the root disk and select the snapshot as the root disk when you create a new virtual machine instance in the US-East region.
- D. Use the Linux dd and netcat commands to copy and stream the root disk contents to a new virtual machine instance in the US-East region.
Answer: B
Explanation:
Explanation/Reference:
NEW QUESTION 174
Your company provides a recommendation engine for retail customers. You are providing retail customers with an API where they can submit a user ID and the API returns a list of recommendations for that user. You are responsible for the API lifecycle and want to ensure stability for your customers in case the API makes backward-incompatible changes. You want to follow Google-recommended practices. What should you do?
- A. Create a distribution list of all customers to inform them of an upcoming backward-incompatible change at least one month before replacing the old API with the new API.
- B. Use a versioning strategy for the APIs that adds the suffix "DEPRECATED" to the current API version number on every backward-incompatible change. Use the current version number for the new API.
- C. Use a versioning strategy for the APIs that increases the version number on every backward-incompatible change.
- D. Create an automated process to generate API documentation, and update the public API documentation as part of the CI/CD process when deploying an update to the API.
Answer: A
NEW QUESTION 175
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