The Leading Guide To Cloud-Digital-Leader Exam Question

NEW QUESTION 1

An organization is altering their gaming product so that it is compatible with cloud technology.
What can they expect when moving from traditional technology to cloud technology?

• A. No change to existing responsibilities
• B. A shift toward OpEx
• C. A shift toward using structured data
• D. Increased hardware maintenance

Answer: B

NEW QUESTION 2

A retail organization has moved all of their inventory data to a relational database in the cloud.
What functionality does a relational database offer?

• A. It analyzes unstructured data which can then be accessed in multiple regions
• B. It stores transactional data which can then be accessed electronically
• C. It stores large amounts of raw data in its original format
• D. It rapidly analyzes large and multi-dimensional datasets

Answer: B

Explanation:
A relational database offers the functionality of storing transactional data, which can then be accessed electronically. Relational databases store structured data that can be organized in tables with defined relationships between them. This makes them well- suited for transactional data, such as inventory data, that needs to be accessed and updated frequently.

NEW QUESTION 3

Which of the following options is/are correct about Preemptible VMs?

• A. Preemptible VMs don't have fixed pricing.
• B. Both A & B
• C. None of the Above.
• D. You can not use Preemptible VMs at fault-tolerant workloads such as high-performance computing, big data and analytics, continuous integration/continuous delivery (CI/CD), rendering/transcoding, and testing.

Answer: C

Explanation:
Preemptible VMs:
Predictable and low cost
Preemptible VMs are up to 80% cheaper than regular instances. Pricing is fixed so you will always get low cost and financial predictability, without worrying about variable market pricing.
Expand your batch processing
Supplement your regular VMs with lower-cost, preemptible instances to finish your compute-intensive work faster, saving you time and money. Throw preemptible VMs at fault-tolerant workloads such as high performance computing, big data and analytics, continuous integration/continuous delivery (CI/CD), rendering/transcoding, and testing.
Get more from your containers
Containers are naturally stateless and fault tolerant, making them a great fit for preemptible VMs! You save on your containerized workloads today with these affordable compute instances. Take advantage of Google Kubernetes Engine for your containerized workloads and Managed Instance Groups to painlessly and seamlessly recover from preemptions.
Enable it instantly
Simply add --preemptible to the gcloud command line and you're off to the races. There's no bidding to code for, and with per-second billing, just shut down your VMs as soon as you're done.

NEW QUESTION 4

You are leading projects in an IT services company. Your customer's project requires analyzing im-ages. They have many 10s of 1000s of raw images that they have made available to you. Your small technology team needs to build a machine learning model. The images are unlabeled. You don't have the people or the capacity to label the images. What is your approach?

• A. Look for open-source labeled images that closely resemble the given images.
• B. Request data labeling service from Google.
• C. Tell the customer it is their duty to label the images.
• D. Hire temporary workers who can quickly label the images.

Answer: C

Explanation:
Google's Data Labeling Service lets you work with human labelers to generate highly accurate labels for a collection of data that you can use in machine learning models.
References:
-> https://cloud.google.com/vertex-ai/docs/datasets/data-labeling-job
-> https://cloud.google.com/ai-platform/data-labeling/docs

NEW QUESTION 5

Which of the following statements is/are correct about Bare Metal Solutions?

• A. The network, which Google Cloud manages includes a low-latency Cloud Inter-connect connection into the customer Bare Metal Solution environment.
• B. Bare Metal Solution also includes the provisioning and maintenance of the cus-tom, sole-tenancy hardware with local SAN, and smart hands support.
• C. Bare Metal Solution uses a bring-your-own-license (BYOL) model.
• D. All of the Above.

Answer: D

Explanation:

Option A is true
You are responsible for the licensing of all of your software. Bare Metal Solution uses a bring-your-own-license (BYOL) model.
Apart from this you are responsible for the software, applications, and data that you use and store in the Bare Metal Solution environment.
Responsibilities Data, including:
- Security and encryption
- Backups
Software and applications, including:
- Installation
- Configuration
- Upgrades and patching
Operating system and any hypervisor, including:
- Configuration changes
- Upgrades and patching Server clusters, including:
- Installation
- Configuration
- Maintenance Licensing
Option B & C is also true.
With Bare Metal Solution, Google Cloud provides and manages the core infrastructure, the net-work, the physical and network security, and hardware monitoring capabilities in an
environment from which you can access all of the Google Cloud services. The core infrastructure includes secure, controlled-environment facilities, and power.
The Bare Metal Solution also includes the provisioning and maintenance of the custom, sole-tenancy hardware with local SAN, and smart hands support.
The network, which is managed by Google Cloud includes a low-latency Cloud Interconnect con-nection into the customer Bare Metal Solution environment.
The available Google Cloud services include private API access, management tools, support, and billing.

NEW QUESTION 6

Your customer's IT team is in the process of modernizing their customer-facing applications. They've witnessed others getting good results from employing microservices, and they're keen to adopt it themselves. The first application that they are modernizing has about 5 different sub-parts, which they have identified will be the services. They also identify that each of them has different scale requirements - some services like user login are less frequently used while others like transac-tions are heavily used. What technical strategy would you recommend for them?

• A. Containerize the services and orchestrate them with Google Kubernetes Engine.
• B. Retain the original application in Compute Engine and scale it as needed using Managed Instance Groups.
• C. Retain the original application as a backup and also for separately scaling the ser-vices, create new application binaries.
• D. Retain the original application in Compute Engine and scale it as needed using Unmanaged Instance Groups.

Answer: A

Explanation:
Containers and Kubernetes are ideal for the kind of requirement mentioned here - separate microservices that need to scale independently.
Google Kubernetes Engine (GKE) provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure. The GKE environment consists of multiple machines (specifically, Compute Engine instances) grouped together to form a cluster.
Reference link- https://cloud.google.com/kubernetes-engine/docs/concepts/kubernetes- engine-overview

NEW QUESTION 7

The government has mandated that companies in a particular section of healthcare must retain all the data they collect for a period of 10 years in case an audit needs to be done. Your client, who is in that industry, needs to follow regulations. In addition, your client wants to do an analysis of the data quite frequently in the first year. They also don't want to be liable for any data beyond year 10. What would recommend for your customer?

• A. Use Cloud Storage with nearline storage in year one and Coldline storage thereaf-te
• B. Use Object lifecycle management to move between storage types and delete them after 10 years.
• C. Use Cloud Storage with standard storage in year one and Coldline storage there-afte
• D. Set a Cloud Scheduler trigger for 1 year to change storage types and 10 years to delete the data.
• E. Use Cloud Storage with standard storage in year one and archival storage thereaf-te
• F. Use Object lifecycle management to move between storage types and delete them after 10 years.
• G. Use Cloud Storage with standard storage in year one and Coldline storage there-afte
• H. Set a Cloud Tasks to trigger for 1 year to change storage types and 10 years to delete the data.

Answer: C

Explanation:
Cloud storage supports Object Lifecycle Management. To support common
use cases like setting a Time to Live (TTL) for objects, retaining noncurrent versions of objects, or "downgrading" storage classes of objects to help manage costs, Cloud Storage offers the Object Lifecycle Management feature.
Standard storage is recommended for frequently accessed data and Archive for data accessed less than once a year.
Nearline, Coldline, and Archive offer ultra-low-cost, highly-durable, highly available archival storage. For data accessed less than once a year, Archive is a cost-effective storage option for the long-term preservation of data. Coldline is also ideal for cold storage—data your business expects to touch less than once a quarter. For warmer storage, choose Nearline: data you expect to access less than once a month, but possibly multiple times throughout the year.

NEW QUESTION 8

An organization is moving away from an on-premises infrastructure. Instead, they want to create, access, and share information virtually in the cloud.
What should the organization consider?

• A. Built-in security when moving their data to the cloud
• B. Replacing their perimeter security with data encryption keys
• C. Optimizing cost-management with a capital expenditure model
• D. Increased hardware capacity when moving their data to the cloud

Answer: A

NEW QUESTION 9

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. Cloud Run
• B. Cloud App Engine Standard
• C. Compute Engine
• D. Kubernetes Engine

Answer: AB

Explanation:
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.

NEW QUESTION 10

Your organization is building an application running in Google Cloud. Currently, software builds, tests, and regular deployments are done manually, but you want to reduce work for the team. Your organization wants to use Google Cloud managed solutions to automate your build, testing, and deployment process.
Which Google Cloud product or feature should your organization use?

• A. Cloud Scheduler
• B. Cloud Code
• C. Cloud Build
• D. Cloud Deployment Manager

Answer: C

Explanation:
Deploy your application to App Engine using the gcloud app deploy command. This command automatically builds a container image by using the Cloud Build service and then deploys that image to the App Engine flexible environment.
Reference: https://cloud.google.com/appengine/docs/flexible/nodejs/testing-and-deploying-your-app

NEW QUESTION 11

An organization is planning its cloud expenditure. What should the organization do to control costs?

• A. Consider cloud resource costs as capital expenditure in annual planning.
• B. Use only cloud resources; they have no cloud infrastructure costs.
• C. Review cloud resource costs frequently because costs depend on usage.
• D. Assess cloud resources costs only when SLO is not met by their cloud provider.

Answer: C

NEW QUESTION 12

An organization wants to use Apigee to manage all their application programming interfaces (APIs).
What will Apigee enable the organization to do?

• A. Increase application privacy
• B. Measure and track API performance Most Voted
• C. Analyze application development speed
• D. Market and sell APIs

Answer: B

Explanation:
Apigee's API Monitoring enables you to track your APIs to make sure they are up and running correctly. API Monitoring provides near real-time insights into API traffic and performance, to help you quickly diagnose and solve issues as they arise.
Apigee works with APIs not necessarily applications. It allows organizations to gain actionable insights across the entire API value chain and monetize API products and maximize the business value of digital assets. https://cloud.google.com/apigee#section-11

NEW QUESTION 13

Your organization needs to categorize objects in a large group of static images using machine learning. Which Google Cloud product or service should your organization use?

• A. BigQuery ML
• B. AutoML Video Intelligence
• C. Cloud Vision API
• D. AutoML Tables

Answer: C

Explanation:

Reference: https://cloud.google.com/vision
Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre- trained Vision API models to detect emotion, understand text, and more.
Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.

NEW QUESTION 14

In terms of Cloud SQL for MySQL Features offered by Google Cloud Platform which of the statements is/are correct?

• A. Do not support Private IP (private service access).
• B. Customer data is encrypted on Google's internal networks and in database tables, temporary files, and backups.
• C. Do not Provide automated and on-demand backups and point-in-time recovery.
• D. None of the above

Answer: B

Explanation:
Cloud SQL for MySQL:
Features
- Fully managed MySQL Community Edition databases in the cloud.
- Cloud SQL instances support MySQL 8.0, 5.7 (default), and 5.6, and provide up to 624 GB of RAM and 64 TB of data storage, with the option to automatically increase the storage size, as needed.
- Create and manage instances in the Google Cloud Console.
- Instances are available in the Americas, EU, Asia, and Australia.
- Customer data is encrypted on Google's internal networks and in database tables, temporary files, and backups.
- Support for secure external connections with the Cloud SQL Auth proxy or with the SSL/TLS protocol.
- Support for private IP (private services access).
- Data replication between multiple zones with automatic failover.
- Import and export databases using mysqldump, or import and export CSV files.
- Support for MySQL wire protocol and standard MySQL connectors.
- Automated and on-demand backups and point-in-time recovery.
- Instance cloning.
- Integration with Google Cloud's operations suite logging and monitoring.

NEW QUESTION 15

A large travel company has thus far invested heavily in their technology team. There is strategic pressure on the company to focus on their core business and innovate to survive in certain geogra-phies and thrive in others. They are evaluating whether a move to Google Cloud will be good for them. Which of these reasons would be relevant for them? (choose two answer)

• A. Application architecture won't be too involved because of serverless options.
• B. The IT team won't have to manage software upgrades, security patches, et
• C. for the VMs.
• D. The IT team won't have to work on procuring and provisioning new hardware and refreshes to existing hardware.
• E. Budgeting won't be an issue since the cloud takes care of billing.

Answer: BC

NEW QUESTION 16

Your organization is running all its workloads in a private cloud on top of a hypervisor. Your
organization has decided it wants to move to Google Cloud as quickly as possible. Your organization wants minimal changes to the current environment, while using the maximim amount of managed services Google offers.
What should your organization do?

• A. Migrate the workloads to Google Cloud VMware Engine
• B. Migrate the workloads to Compute Engine
• C. Migrate the workloads to Bare Metal Solution
• D. Migrate the workloads to Google Kubernetes Engine

Answer: B

Explanation:
Migrate for Compute Engine enables you to lift and shift workloads at scale to Google Cloud Compute Engine with minimal changes and risk.
Reference: https://dataintegration.info/simplify-vm-migrations-with-migrate-for-compute-engine-as-a-service

NEW QUESTION 17

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 minimize the level of management by the customer
• C. You want to maximize flexibility for the customer.
• D. You want to be able to shift your emphasis between flexibility and management by the cloud provider as business needs change

Answer: B

Explanation:
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

NEW QUESTION 18

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

Answer: B

NEW QUESTION 19

An organization is struggling to meet user demand for change and wants to modernize their legacy applications by moving the applications to the cloud
Why would this help the organization satisfy user expectations'?

• A. Toil automation helps make automatic updates
• B. Updates can be pushed out more quickly to repair bugs
• C. Customer data can be used to offer tailored content
• D. DevOps requires that industry trends be measured and tracked

Answer: B

Explanation:
Moving legacy applications to the cloud can help organizations satisfy user expectations by enabling them to push out updates more quickly to repair bugs.

NEW QUESTION 20

A customer of yours has an SLA with their client that a particular service will respond within 4 sec-onds. The end client has reported that it feels slower. Your engineers do a trial at the client site and notice that there seems to be a delay for many of the requests. It's your team's responsibility to iden-tify the issue quickly within the strict timeline for fixes according to the contract, and then fix it. What should you do?

• A. Recommend a move to serverless technologies which will scale automatically on demand.
• B. Add logging statements at multiple points in the application, build it, and deploy i
• C. Now new requests will give us information on latency in the logs.
• D. Check if the browsers used by the client are different from your
• E. If they are, that's most likely the issu
• F. Ensure that everybody uses the latest version of the browser that you are also using.
• G. Use Cloud Trace to collect latency data and track how requests propagate and why there is a delay.

Answer: D

Explanation:
Cloud Trace is a built-in tool in the Operations suite to identify issues like latency.
-> Such fixes are unlikely to change core issues like the service itself being architected or written sub-optimally. Though changes like browser, networking, etc. are helpful, it would be the wrong approach to first recommend that the customer upgrade all their hardware and software.
-> Rewriting code and logging information is going to be time consuming. In general though, logging should always be included in code and it can give good insights. But tracing is way more specific and comprehensive for this requirement.
-> In certain cases, we might identify scaling as the issue. But we should first identify the core problem. So, start with tracing. We can also achieve scale in server-ful technologies.
Reference link- https://cloud.google.com/trace

NEW QUESTION 21
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