For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to design their solution for the future in order to take advantage of cloud and technology improvements as they become available. Which two steps should they take? (Choose two.)
Answer
Store as much analytics and game activity data as financially feasible today so it can be used to train machine learning models to predict user behavior in the future.
Set up a CI/CD pipeline using Jenkins and Spinnaker to automate canary deployments and improve development velocity.
Begin packaging their game backend artifacts in container images and running them on Kubernetes Engine to improve the availability to scale up or down based on game activity.
Adopt a schema versioning tool to reduce downtime when adding new game features that require storing additional player data in the database.
Implement a weekly rolling maintenance process for the Linux virtual machines so they can apply critical kernel patches and package updates and reduce the risk of 0-day vulnerabilities.
Card 142
Question
For this question, refer to the Mountkirk Games case study. Mountkirk Games wants you to design a way to test the analytics platform's resilience to changes in mobile network latency. What should you do?
Answer
Deploy failure injection software to the game analytics platform that can inject additional latency to mobile client analytics traffic.
Build a test client that can be run from a mobile phone emulator on a Compute Engine virtual machine, and run multiple copies in Google Cloud Platform regions all over the world to generate realistic traffic.
Add the ability to introduce a random amount of delay before beginning to process analytics files uploaded from mobile devices.
Create an opt-in beta of the game that runs on players' mobile devices and collects response times from analytics endpoints running in Google Cloud Platform regions all over the world.
Card 143
Question
For this question, refer to the Mountkirk Games case study. You need to analyze and define the technical architecture for the database workloads for your company, Mountkirk Games. Considering the business and technical requirements, what should you do?
Answer
Use Cloud SQL to replace MySQL, and use Cloud Spanner for historical data queries.
Use Cloud SQL for time series data, and use Cloud Bigtable for historical data queries.
Use Cloud Bigtable to replace MySQL, and use BigQuery for historical data queries.
Use Cloud Bigtable for time series data, use Cloud Spanner for transactional data, and use BigQuery for historical data queries.
Card 144
Question
For this question, refer to the Mountkirk Games case study. Which managed storage option meets Mountkirk's technical requirement for storing game activity in a time series database service?
Answer
Cloud Bigtable
Cloud Spanner
BigQuery
Cloud Datastore
Card 145
Question
For this question, refer to the Mountkirk Games case study. You are in charge of the new Game Backend Platform architecture. The game communicates with the backend over a REST API.
You want to follow Google-recommended practices. How should you design the backend?
Answer
Create an instance template for the backend. For every region, deploy it on a multi-zone managed instance group. Use an L4 load balancer.
Create an instance template for the backend. For every region, deploy it on a single-zone managed instance group. Use an L4 load balancer.
Create an instance template for the backend. For every region, deploy it on a multi-zone managed instance group. Use an L7 load balancer.
Create an instance template for the backend. For every region, deploy it on a single-zone managed instance group. Use an L7 load balancer.
Card 146
Question
TerramEarth's CTO wants to use the raw data from connected vehicles to help identify approximately when a vehicle in the field will have a catastrophic failure.
You want to allow analysts to centrally query the vehicle data.
Which architecture should you recommend?
A
B
C
D
Answer
A
B
C
D
Card 147
Question
The TerramEarth development team wants to create an API to meet the company's business requirements. You want the development team to focus their development effort on business value versus creating a custom framework.
Which method should they use?
Answer
Use Google App Engine with Google Cloud Endpoints. Focus on an API for dealers and partners
Use Google App Engine with a JAX-RS Jersey Java-based framework. Focus on an API for the public
Use Google App Engine with the Swagger (Open API Specification) framework. Focus on an API for the public
Use Google Container Engine with a Django Python container. Focus on an API for the public
Use Google Container Engine with a Tomcat container with the Swagger (Open API Specification) framework. Focus on an API for dealers and partners
Card 148
Question
To speed up data retrieval, more vehicles will be upgraded to cellular connections and be able to transmit data to the ETL process. The current FTP process is error-prone and restarts the data transfer from the start of the file when connections fail, which happens often. You want to improve the reliability of the solution and minimize data transfer time on the cellular connections.
What should you do?
Answer
Use one Google Container Engine cluster of FTP servers. Save the data to a Multi-Regional bucket. Run the ETL process using data in the bucket
Use multiple Google Container Engine clusters running FTP servers located in different regions. Save the data to Multi-Regional buckets in US, EU, and Asia. Run the ETL process using the data in the bucket
Directly transfer the files to different Google Cloud Multi-Regional Storage bucket locations in US, EU, and Asia using Google APIs over HTTP(S). Run the ETL process using the data in the bucket
Directly transfer the files to a different Google Cloud Regional Storage bucket location in US, EU, and Asia using Google APIs over HTTP(S). Run the ETL process to retrieve the data from each Regional bucket
Card 149
Question
Operational parameters such as oil pressure are adjustable on each of TerramEarth's vehicles to increase their efficiency, depending on their environmental conditions. Your primary goal is to increase the operating efficiency of all 20 million cellular and unconnected vehicles in the field.
How can you accomplish this goal?
Answer
Have you engineers inspect the data for patterns, and then create an algorithm with rules that make operational adjustments automatically
Capture all operating data, train machine learning models that identify ideal operations, and run locally to make operational adjustments automatically
Implement a Google Cloud Dataflow streaming job with a sliding window, and use Google Cloud Messaging (GCM) to make operational adjustments automatically
Capture all operating data, train machine learning models that identify ideal operations, and host in Google Cloud Machine Learning (ML) Platform to make operational adjustments automatically
Card 150
Question
For this question, refer to the TerramEarth case study. TerramEarth has decided to store data files in Cloud Storage. You need to configure Cloud Storage lifecycle rule to store 1 year of data and minimize file storage cost.
Which two actions should you take?
Answer
Create a Cloud Storage lifecycle rule with Age: "30", Storage Class: "Standard", and Action: "Set to Coldline", and create a second GCS life-cycle rule with Age: "365", Storage Class: "Coldline", and Action: "Delete".
Create a Cloud Storage lifecycle rule with Age: "90", Storage Class: "Standard", and Action: "Set to Nearline", and create a second GCS life-cycle rule with Age: "91", Storage Class: "Nearline", and Action: "Set to Coldline".
Create a Cloud Storage lifecycle rule with Age: "30", Storage Class: "Coldline", and Action: "Set to Nearline", and create a second GCS life-cycle rule with Age: "91", Storage Class: "Coldline", and Action: "Set to Nearline".
Create a Cloud Storage lifecycle rule with Age: "30", Storage Class: "Standard", and Action: "Set to Coldline", and create a second GCS life-cycle rule with Age: "365", Storage Class: "Nearline", and Action: "Delete".
Card 151
Question
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?
Answer
Replace the existing data warehouse with BigQuery. Use table partitioning.
Replace the existing data warehouse with a Compute Engine instance with 96 CPUs.
Replace the existing data warehouse with BigQuery. Use federated data sources.
Replace the existing data warehouse with a Compute Engine instance with 96 CPUs. Add an additional Compute Engine preemptible instance with 32 CPUs.
Card 152
Question
For this question, refer to the TerramEarth case study. A new architecture that writes all incoming data to BigQuery has been introduced. You notice that the data is dirty, and want to ensure data quality on an automated daily basis while managing cost.
What should you do?
Answer
Set up a streaming Cloud Dataflow job, receiving data by the ingestion process. Clean the data in a Cloud Dataflow pipeline.
Create a Cloud Function that reads data from BigQuery and cleans it. Trigger it. Trigger the Cloud Function from a Compute Engine instance.
Create a SQL statement on the data in BigQuery, and save it as a view. Run the view daily, and save the result to a new table.
Use Cloud Dataprep and configure the BigQuery tables as the source. Schedule a daily job to clean the data.
Card 153
Question
For this question, refer to the TerramEarth case study. Considering the technical requirements, how should you reduce the unplanned vehicle downtime in GCP?
Answer
Use BigQuery as the data warehouse. Connect all vehicles to the network and stream data into BigQuery using Cloud Pub/Sub and Cloud Dataflow. Use Google Data Studio for analysis and reporting.
Use Cloud Dataproc Hive as the data warehouse. Upload gzip files to a MultiRegional Cloud Storage bucket. Upload this data into BigQuery using gcloud. Use Google data Studio for analysis and reporting.
Use BigQuery as the data warehouse. Connect all vehicles to the network and upload gzip files to a Multi-Regional Cloud Storage bucket using gcloud. Use Google Data Studio for analysis and reporting.
Use Cloud Dataproc Hive as the data warehouse. Directly stream data into prtitioned Hive tables. Use Pig scripts to analyze data.
Card 154
Question
For this question, refer to the TerramEarth case study. You are asked to design a new architecture for the ingestion of the data of the 200,000 vehicles that are connected to a cellular network. You want to follow Google-recommended practices.
Considering the technical requirements, which components should you use for the ingestion of the data?
Answer
Google Kubernetes Engine with an SSL Ingress
Cloud IoT Core with public/private key pairs
Compute Engine with project-wide SSH keys
Compute Engine with specific SSH keys
Card 155
Question
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?
Answer
Grant the operations engineer access to use Google Cloud Shell.
Configure a VPN connection to GCP to allow SSH access to the cloud VMs.
Configure a VPN connection to GCP to allow SSH access to the cloud VMs.
Configure a VPN connection to GCP to allow SSH access to the cloud VMs.
Card 156
Question
At Dress4Win, an operations engineer wants to create a low-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?
Answer
Create a cron script using gsutil to copy the files to a Coldline Storage bucket.
Create a Cloud Storage Transfer Service Job to copy the files to a Coldline Storage bucket.
Create a cron script using gsutil to copy the files to a Regional Storage bucket.
Create a Cloud Storage Transfer Service job to copy the files to a Regional Storage bucket.
Card 157
Question
Dress4Win has asked you to recommend machine types they should deploy their application servers to.
How should you proceed?
Answer
Perform a mapping of the on-premises physical hardware cores and RAM to the nearest machine types in the cloud.
Recommend that Dress4Win deploy into production with the smallest instances available, monitor them over time, and scale the machine type up until the desired performance is reached.
Recommend that Dress4Win deploy application servers to machine types that offer the highest RAM to CPU ratio available.
Identify the number of virtual cores and RAM associated with the application server virtual machines align them to a custom machine type in the cloud, monitor performance, and scale the machine types up until the desired performance is reached.
Card 158
Question
You want to ensure Dress4Win's sales and tax records remain available for infrequent viewing by auditors for at least 10 years.
Cost optimization is your top priority.
Which cloud services should you choose?
Answer
Google Cloud Storage Coldline to store the data, and gsutil to access the data.
oogle Cloud Storage Nearline to store the data, and gsutil to access the data.
Google Bigtabte with US or EU as location to store the data, and gcloud to access the data.
BigQuery to store the data, and a web server cluster in a managed instance group to access the data. Google Cloud SQL mirrored across two distinct regions to store the data, and a Redis cluster in a managed instance group to access the data.
Card 159
Question
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 within the Google cloud platform.
Which approach should they use?
Answer
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.
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.
Use regional managed instance groups and a global load balancer to increase reliability by providing automatic failover between zones in different regions.
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.
Card 160
Question
For this question, refer to the Dress4Win case study. To be legally compliant during an audit, Dress4Win must be able to give insights in all administrative actions that modify the configuration or metadata of resources on Google Cloud.
What should you do?
Answer
Use Stackdriver Trace to create a trace list analysis.
Use Stackdriver Monitoring to create a dashboard on the project's activity.
Enable Cloud Identity-Aware Proxy in all projects, and add the group of Administrators as a member.
Use the Activity page in the GCP Console and Stackdriver Logging to provide the required insight.
How to use this set
Read the preview and check whether the content and answers suit your learning goal. You can add the public set to your sets to study it. Your account shows the available actions.
