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質問 # 17
Your customer has a reporting tool that is only occasionally used by the leadership team. Usage of it is frequent - once a week, once a month, or once the quarter. They want to run this application in a cost-effective manner. What are the compute options available on Google Cloud which would be suitable? (Choose Two answer)
- A. Kubernetes Engine
- B. Cloud Run
- C. Cloud App Engine Standard
- D. Compute Engine
正解：B、C
解説：
Since the use of the tool is infrequent/intermittent, you can choose to compute options that are serverless. Both Cloud Run and Cloud App Engine Standard are serverless options that can shut down to zero. Since cost-effectiveness is a requirement, this will not cost anything during the periods it is not used.
質問 # 18
Your team has developed a machine learning model for your customer. The test results indicate very strong predictive capability. The model is then deployed in production. Evaluation of the predictions in production show that they are off by a pronounced margin. What is the issue and how can you solve for it?
- A. The model is over fitted. Add more features to the model to fix it.
- B. The model is under fitted. Train with less data.
- C. The model is overfitted. Train with more data.
- D. The model is fine since the test results are good. Fix the production of incoming data.
正解：C
解説：
If our ML model does well on the training set than on the production set, then we're likely over fitting.
Training with more data would be one solution.
質問 # 19
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?
- A. Compute Engine
- B. App Engine flexible environment
- C. Google Kubernetes Engine
- D. App Engine standard environment
正解：A
解説：
Reference: https://cloud.google.com/compute/docs/images/create-delete-deprecate-private-images A custom image is a boot disk image that you own and control access to. Use custom images for the following tasks:
Import a virtual disk to Compute Engine from your on-premises environment or from VMs that are running on your local workstation or on another cloud platform. You can manually import boot disk images to Compute Engine, but one disk at a time.
Graphical user interface, text, application, email Description automatically generated
https://cloud.google.com/compute/docs/images
質問 # 20
An organization wants to migrate legacy applications currently hosted in their data center to the cloud. The current architecture dictates that each application needs its own operating system (OS) instead of sharing an OS.
Which infrastructure solution should they choose?
- A. Open source
- B. Containers
- C. Serverless computing
- D. Virtual machines
正解：D
解説：
Explanation
Virtual machines - you can install customized OS
Containers - about applications
Virtualization enables you to run multiple operating systems on the hardware of a single physical server, while containerization enables you to deploy multiple applications using the same operating system on a single virtual machine or server. Serverless computing would be no OS required and the open source operating system allows the use of code that is freely distributed and available to anyone and for commercial purposes such as Linux and Free BSD.
質問 # 21
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?
- A. Bare Metal Solution
- B. Cloud Functions
- C. Cloud Run
- D. Compute Engine
正解：A
解説：
"This solution provides a path to modernize your application infrastructure landscape, while maintaining your existing investments and architecture. With Bare Metal Solution, you can bring your specialized workloads to Google Cloud, allowing you access and integration with GCP services with minimal latency."
質問 # 22
Which of the following statements is/are true about Cloud Spanner offered by Google Cloud Plat-form.
- A. It can scale horizontally to support additional capacity.
- B. It comes with Zero Downtime, No Maintenance windows, and is proven for large and small workloads.
- C. All of the above.
- D. You don't need to shard or replicate data.
正解：C
解説：
Explanation
Cloud Spanner:
Fully managed relational database with unlimited scale, strong consistency, and up to 99.999% availability.
- Get all the benefits of relational semantics and SQL with unlimited scale
- Start at any size and scale with no limits as your needs grow
- Enjoy high availability with zero scheduled downtime and online schema changes
- Deliver high-performance transactions with strong consistency across regions and continents
- Focus on innovation, eliminating manual tasks with capabilities like automatic sharding.
質問 # 23
An organization wants to digitize and share large volumes of historical text and images.
Why is a public cloud a better option than an on-premises solution?
- A. In-house hardware management
- B. Provides physical encryption key
- C. Optimizes capital expenditure
- D. Cost-effective at scale
正解：D
質問 # 24
A company with its own private data center has called you in for help with their disaster recovery planning. News of multiple ransomware attacks has made them very anxious. They want to make they are well prepared for such an eventuality. Which of these would be good recommendations?
- A. The one data center is enough, as long as the data is encrypted; attackers won't be able to read the data.
- B. It is better to have redundancy; so, set up another private data center nearby so that you can quickly go over in case of an emergency.
- C. It is better to have redundancy; use one or many of the Google Cloud datacenters as a backup location.
- D. The one data center is enough as long as you regularly back up data and save it in another place in the same DC.
正解：C
解説：
A single data center is vulnerable. So any option involving that is not good.
Reference Link:- https://www.coresite.com/blog/data-center-redundancy
質問 # 25
An organization delivers a proactive healthcare service. They want to efficiently and automatically collect patient data.
What should the organization encourage the patients to do?
- A. Use at-home health screening devices and then upload their health data daily
- B. Wear Internet of Things (IoT) devices that upload their health data in real time
- C. Self-assess their health data and then document and upload it in real time
- D. Visit a nurse who will use Internet of Things (IoT) devices to collect and upload their health data
正解：B
質問 # 26
Which of the following is/are true about Bare Metal Solutions?
- A. Continue to run any version, and feature set, any database option, and any cus-tomizations (patchsets)
- B. Enterprise-grade deployment platform
- C. All of the Above.
- D. All your existing investment in tooling and best practices will work as is
正解：C
解説：
Explanation
Bare Metal Solution for Oracle
Bring your Oracle workloads to Google Cloud with Bare Metal Solution and jumpstart your cloud journey with minimal risk.
- Continue to run any version, any feature set, any database option, and any customizations (patchsets)
- Enterprise-grade deployment platform
- High availability with Oracle RAC
- Works with any application, any Oracle versions
- All your existing investment in tooling and best practices will work as is
質問 # 27
Which of the following statements is/are true about Google Cloud BigTable?
- A. It is not compatible with Hadoop.
- B. It is an enterprise-level Database that offers relational and non-relational features
- C. It can not be used in Real-time Ad analytics and tracking thousands of IoT Devices Data.
- D. It Scales from Giga Byte to Peta Byte with No Downtime.
正解：D
解説：
Cloud Bigtable
A fully managed, scalable NoSQL database service for large analytical and operational workloads with up to
99.999% availability.
- Consistent sub-10ms latency-handle millions of requests per second
- Ideal for use cases such as personalization, ad tech, fintech, digital media, and IoT
- Seamlessly scale to match your storage needs; no downtime during reconfiguration
- Designed with a storage engine for machine learning applications leading to better predictions
- Easily connect to Google Cloud services such as BigQuery or the Apache ecosystem
質問 # 28
The operating systems of some of your organization's virtual machines may have a security vulnerability.
How can your organization most effectively identify all virtual machines that do not have the latest security update?
- A. View the Compliance Reports Manager to identify and download a recent SOC 1 audit
- B. View the Security Command Center to identify virtual machines started more than 2 weeks ago
- C. View the Compliance Reports Manager to identify and download a recent PCI audit
- D. View the Security Command Center to identify virtual machines running vulnerable disk images
正解：D
解説：
Explanation
Security Health Analytics and Web Security Scanner detectors generate vulnerabilities findings that are available in Security Command Center. Your ability to view and edit findings is determined by the Identity and Access Management (IAM) roles and permissions you are assigned. For more information about IAM roles in Security Command Center.
Reference link:-
https://cloud.google.com/security-command-center/docs/concepts-vulnerabilities-findings
質問 # 29
certain devices for cracks, rust, etc. Some of these issues are difficult to identify for a human and your company has seen increasing customer complaints - the customer has paid for an inspection and the field agent said there was no problem, but it later turned out there actually was. The team has come up with a proposal to engage AI to identify issues. On evaluating the existing system, it is seen that the mobile phone network connection is not good or consistent. What solution can work for them?
- A. Use AutoML Vision Edge models.
- B. Use Cloud TPUs which will be able to do the analysis faster on the cloud. Thus re-sponses also will be fast.
- C. Use TensorFlow to create custom models and deploy it as TensorFlow Lite mod-els.
- D. Use the Rust programming language instead of Python to identify issues like rust.
正解：A
解説：
AutoML Vision Edge model can be deployed to one of several types of edge devices, such as mobile phones, ARM-based devices, and the Coral Edge TPU
https://cloud.google.com/vision/automl/docs/edge-quickstart
質問 # 30
An IoT platform is providing services to home security systems. They have more than a million customers, each with many home devices. Burglaries or child safety issues are concerns that the clients customers.
Therefore, the platform has to respond very quickly in near real time. What could be a typical data pipeline used to support this platform on Google Cloud?
- A. Cloud Pub/Sub, Cloud Dataflow, BigQuery
- B. Cloud Functions, Cloud Dataproc, Looker
- C. Cloud Pub/Sub, Cloud Dataflow, Data Studio
- D. Cloud Functions, Cloud Dataproc, BigQuery
正解：C
解説：
Explanation
=> Cloud Pub/Sub- Cloud Pub/Sub is the best to be the end-point for ingesting large amounts of data. It will grow as required, can stream data to downstream systems, and can also work with intermittently available backends.
=> Cloud Dataflow- supports streaming data and therefore is an appropriate option for processing the data that is ingested.
=> BigQuery- BigQuery also supports streaming data and its possible to do real time ana-lytics on it.
=> DataStudio- DataStudio and Looker are for visualization. They don't have any in-built analysis.
=> Cloud Functions- Cloud Functions is a useful serverless endpoint. However, Pub/Sub is better in this case because it can also retain messages for a set period if it was not possi-ble to deliver it first time.
=>Cloud Dataproc- Cloud Dataproc is used for Hadoop/Spark workloads and won't be a good fit here.
質問 # 31
What type of cloud computing service provides raw compute, storage, and network, organized in ways that are familiar to physical data centers?
- A. Software as a Service.
- B. Infrastructure as a Service.
- C. Platform as a Service.
- D. Database as a Service.
正解：B
解説：
Explanation
What is Infrastructure as a service :
IaaS (infrastructure as a service) is a computing model that offers resources on-demand to businesses and individuals via the cloud.
IaaS is attractive because acquiring computing resources to run applications or store data the traditional way requires time and capital. Enterprises must purchase equipment through procurement processes that can take months. They must invest in physical spaces: typically specialized rooms with power and cooling. And after deploying the systems, enterprises need IT, professionals, to manage them.
All this is challenging to scale when demand spikes or the business grows. Enterprises risk running out of capacity or overbuilding and ending up with infrastructure that suffers from low utilization.
These challenges are why IaaS use is steadily growing. Learn more about Compute Engine, Cloud Storage, etc.
質問 # 32
An organization needs protection against distributed denial-of-service (DDoS) attacks. Which Google Cloud service should the organization use?
- A. Cloud Build
- B. Google Cloud Armor
- C. Security Command Center
- D. Cloud VPN
正解：B
解説：
Google Cloud Armor is a service that provides protection against Distributed Denial-of-Service (DDoS) attacks. It offers a scalable web application firewall (WAF) that helps to defend against layer 3, 4, and 7 DDoS attacks, ensuring that applications remain available and responsive.
Option B: Google Cloud Armor is correct because it is specifically designed to provide protection against DDoS attacks.
References:
* Google Cloud Armor: DDoS Protection and WAF Features
* Google Cloud Security: Overview of DDoS Protection Services
質問 # 33
Each of the three cloud service models - infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) - offers benefits between flexibility and levels of management by the cloud provider and the customer.
Why would SaaS be the right choice of service model?
- A. You want a balance between flexibility for the customer and the level of management by the cloud provider
- B. You want to be able to shift your emphasis between flexibility and management by the cloud provider as business needs change
- C. You want to minimize the level of management by the customer
- D. You want to maximize flexibility for the customer.
正解：C
解説：
Benefits of SaaS
The main benefit of SaaS is that it offloads all infrastructure and application management to the SaaS vendor.
Reference: https://www.ibm.com/cloud/learn/iaas-paas-saas
質問 # 34
A customer deploys an application to App Engine and needs to check for Open Web Appli-cation Security Project (OWASP) vulnerabilities. Which service should be used to accom-plish this?
- A. Forseti Security
- B. Cloud Security Scanner
- C. Binary Authorization
- D. Cloud Armor
正解：B
解説：
Web Security Scanner identifies security vulnerabilities in your App Engine, Google Kubernetes Engine (GKE), and Compute Engine web applications. It crawls your application, following all links within the scope of your starting URLs, and attempts to exercise as many user inputs and event handlers as possible.
Currently, Web Security Scanner only supports public URLs and IPs that aren't behind a firewall. Web Security Scanner currently supports the App Engine standard environment and App Engine flexible environments, Compute Engine instances, and GKE resources.
Reference link- https://cloud.google.com/security-command-center/docs/concepts-web-security-scanner-overview
質問 # 35
A customer has contacted you about migrating to Google Cloud. The customer would like to mi-grate their data from on premises as soon as possible. They don't have the budget to rewrite code, and they want the most direct route. What migration option should suggest to the customer?
- A. Improve and Move
- B. Rip and Replace
- C. Lift and Shift
- D. None, since the customer is not cloud native ready.
正解：C
解説：
Explanation
With Lift and Shift migrations, the customer could move workloads from a source environment to a target environment with few or no modifications or refactoring
https://cloud.google.com/architecture/migration-to-gcp-getting-started
質問 # 36
An organization is training a machine learning model to predict extreme weather events in their country.
How should they collect data to maximize prediction accuracy?
- A. Collect extreme weather data primarily from at-risk cities
- B. Collect all weather data primarily from at-risk cities
- C. Collect all weather data evenly across all cities
- D. Collect extreme weather data evenly across all cities
正解：C
解説：
Collect all weather data evenly across all cities. Mainly because it seems that the emphasis for data collection for ML is to make sure there are no holes in your data collection.
質問 # 37
Your organization wants to predict the behavior of visitors to its public website. To do that, you have decided to build a machine learning model. Your team has database-related skills but only basic machine learning skills, and would like to use those database skills.
Which Google Cloud product or feature should your organization choose?
- A. Cloud SQL
- B. TensorFlow
- C. BigQuery ML
- D. LookML
正解：C
解説：
Reference:
質問 # 38
An organization is struggling to keep up with the growth of their application which is running on legacy infrastructure.
What might be holding them back?
- A. The overreliance on platform as a service
- B. The inaccessibility of their data due to perimeter security
- C. The cost of provisioning hardware for peak usage
- D. The time it takes their serverless compute function to scale
正解：C
解説：
Legacy infrastructure is typically based on on-premises hardware that is managed and maintained by the organization. As the application grows and the user base expands, the hardware required to support it must also grow. This can lead to significant costs associated with provisioning and maintaining hardware, particularly if the organization needs to provision for peak usage.
質問 # 39
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