[2024] Cloud-Digital-Leader Answers Cloud-Digital-Leader Free Demo Are Based On The Real Exam
Cloud-Digital-Leader [Feb-2024 Newly Released] Exam Questions For You To Pass
Google Cloud Digital Leader Exam is a certification program offered by Google Cloud to professionals seeking to demonstrate their expertise in the field of digital transformation. Cloud-Digital-Leader exam is designed to test the candidate's knowledge of digital transformation strategies, technologies, and trends, as well as their ability to apply these concepts to real-world situations. It is an ideal certification for individuals who want to validate their skills and knowledge in digital transformation and lead their organizations towards digital success.
NEW QUESTION # 50
Your organization wants to migrate your on-premises environment to Google Cloud. The on-premises environment consists of containers and virtual machine instances. Which Google Cloud products can help to migrate the container images and the virtual machine disks?
- A. Compute Engine and Filestore
- B. Artifact Registry and Cloud Storage
- C. Pub/Sub and Cloud Storage
- D. Dataflow and BigQuery
Answer: A
NEW QUESTION # 51
A Multiple projects within your organization have long-term VM usage. Based on current demand, they are able to project into the future and estimate how many VM hours they will use every year. Going in for a committed use contract seems sensible. How can you configure committed use easily across all the projects?
- A. Share a Google Sheet and request each project team to send in their estimate. Enable committed use accordingly on a per-project basis.
- B. Review the usage of resources by each project on a daily basis. Enable committed use for the following day based on that number, so that it gives maximum granularity without wastage.
- C. Enable committed use with discount sharing for the projects
- D. Take a report of each project's use in the last year. Enable committed use on a per-project basis based on the previous year's numbers.
Answer: C
Explanation:
Explanation
Enable committed use discounts are applied to the project from which you purchased it. To share the discount across multiple projects linked to your Cloud Billing account, enable committed use discount sharing from the console. When you enable committed use discount sharing, all of your current active committed use dis-counts in all the projects under the same Cloud Billing account, including those you previously purchased and new ones you purchase in the future are shared across your Cloud Billing account. Your sustained use discounts are also pooled and shared across all projects within your Cloud Billing account.
NEW QUESTION # 52
Your organization needs a large amount of extra computing power within the next two weeks.
After those two weeks, the need for the additional resources will end.
Which is the most cost-effective approach?
- A. Purchase multiple physical computers and scale workload across them
- B. Use a committed use discount to reserve a very powerful virtual machine
- C. Purchase one very powerful physical computer
- D. Start a very powerful virtual machine without using a committed use discount
Answer: D
Explanation:
When you purchase a committed use contract, you purchase Compute Engine resources-such as vCPUs, memory, GPUs, local SSDs, and sole-tenant nodes-at a discounted price in return for committing to paying for those resources for 1 year or 3 years
NEW QUESTION # 53
Your organization consists of many teams. Each team has many Google Cloud projects. Your organization wants to simplify the management of identity and access policies for these projects.
How can you group these projects to meet this goal?
- A. Group each team's projects into a separate domain
- B. Use folders to group each team's projects
- C. Group each team's projects into a separate organization node
- D. Assign labels based on the virtual machines that are part of each team's projects
Answer: C
Explanation:
Create an Organization node
NEW QUESTION # 54
What according to you are NOT the key capabilities of In-App Messaging?
- A. Increasing conversion for user-to-user sharing
- B. Creating customized and flexible alerts
- C. Target messages accordingly to the change in the behavior pattern of the target audience.
- D. Sending relevant messages to the target audience
Answer: A
Explanation:
In-App Messaging
Engage active app users with contextual messages.
Firebase In-App Messaging helps you engage users who are actively using your app by sending them targeted and contextual messages that nudge them to complete key in-app actions - like beating a game level, buying an item, or subscribing to content.
NEW QUESTION # 55
Your organization wants an economical solution to store data such as files, graphical images, and videos and to access and share them securely.
Which Google Cloud product or service should your organization use?
- A. Cloud SQL
- B. Cloud Storage
- C. BigQuery
- D. Cloud Spanner
Answer: B
NEW QUESTION # 56
Your company has recently acquired three growing startups in three different countries. You want to reduce overhead in infrastructure management and keep your costs low without sacrificing security and quality of service to your customers.
How should you meet these requirements?
- A. Build a homogenous infrastructure at each subsidiary, and invest in hiring more engineers.
- B. Host all your subsidiaries' services on-premises together with your existing services.
- C. Host all your subsidiaries' services together with your existing services on the public cloud.
- D. Build a homogenous infrastructure at each subsidiary, and invest in training their engineers.
Answer: C
Explanation:
Explanation
Host all your subsidiaries' services together with your existing services on the public cloud.
NEW QUESTION # 57
Your client's IT environment has so far been on-premises. They run a mix of applications and data-bases on Linux and Windows. They want to move to Google Cloud in the easiest manner possi-ble. What are their best options?
- A. Compute Engine with VMs with either Linux or Windows OS.
- B. App Engine Standard
- C. Cloud Functions
- D. Cloud Run
Answer: A
Explanation:
Compute Engine allows you to allocate VMs with different OSs - Windows and Linux, included.
NEW QUESTION # 58
An organization finds that the amount of cash in their vending machines doesn't match the value of items sold. They have decided to upgrade their vending machines with cloud-based mobile payment systems.
How could the organization benefit from this upgrade?
- A. They could view data history to see transactions.
- B. They could reduce their error budget overspend.
- C. They could improve their perimeter security.
- D. They could relax data access permissions.
Answer: A
NEW QUESTION # 59
Cloud SQL is a fully-managed relational database service for MySQL, PostgreSQL and SQL serv-ers, keeping Cloud SQL Google Cloud Service in mind, which of the following statements is/are correct?
- A. All of the above
- B. Cloud SQL automatically ensures your databases are reliable, secure, and scala-ble so that your business continues to run without disruption.
- C. With DMS (Database Migration Service) it becomes very easy to Migration of Pro-duction Database.
- D. Data inside cloud SQL is automatically Encrypted.
Answer: A
Explanation:
Cloud SQL
Fully managed relational database service for MySQL, PostgreSQL, and SQL Server. Run the exact same relational databases you know with their rich extension collections, configuration flags and developer ecosystem, but without the hassle of self management.
- Reduce maintenance cost with fully managed MySQL, PostgreSQL and SQL Server databases.
- Ensure business continuity with reliable and secure services backed by 24/7 SRE team.
- Automate database provisioning, storage capacity management, and other time-consuming tasks.
- Database observability made easy for developers with Cloud SQL Insights.
- Easy integration with existing apps and Google Cloud services like GKE and BigQuery.
Key features:
Fully managed
Cloud SQL automatically ensures your databases are reliable, secure, and scalable so that your business continues to run without disruption. Cloud SQL automates all your backups, replication, encryption patches, and capacity increases-while ensuring greater than 99.95% availability, anywhere in the world.
Integrated
Access Cloud SQL instances from just about any application. Easily connect from App Engine, Compute Engine, Google Kubernetes Engine, and your workstation. Open up analytics possibilities by using BigQuery to directly query your Cloud SQL databases.
Reliable
Easily configure replication and backups to protect your data. Go further by enabling automatic failover to make your database highly available. Your data is automatically encrypted, and Cloud SQL is SSAE 16, ISO 27001, and PCI DSS compliant and supports HIPAA compliance.
Easy migrations to Cloud SQL
Database Migration Service (DMS) makes it easy to migrate your production databases to Cloud SQL with minimal downtime. This serverless offering eliminates the manual hassle of provisioning, managing, and monitoring migration-specific resources. DMS leverages the native replication capabilities of MySQL and PostgreSQL to maximize the fidelity and reliability of your migration. And it's available at no additional charge for native like-to-like migrations to Cloud SQL.
NEW QUESTION # 60
Your organization is developing an application that will capture a large amount of data from millions of different sensor devices spread all around the world. Your organization needs a database that is suitable for worldwide, high-speed data storage of a large amount of unstructured data.
Which Google Cloud product should your organization choose?
- A. Firestore
- B. Cloud SQL
- C. Cloud Data Fusion
- D. Cloud Bigtable
Answer: D
Explanation:
Reference:
Cloud Bigtable is a sparsely populated table that can scale to billions of rows and thousands of columns, enabling you to store terabytes or even petabytes of data. A single value in each row is indexed; this value is known as the row key. Bigtable is ideal for storing very large amounts of single-keyed data with very low latency. It supports high read and write throughput at low latency, and it is an ideal data source for MapReduce operations.
Bigtable is exposed to applications through multiple client libraries, including a supported extension to the Apache HBase library for Java. As a result, it integrates with the existing Apache ecosystem of open-source Big Data software.
Bigtable's powerful back-end servers offer several key advantages over a self-managed HBase installation:
Incredible scalability. Bigtable scales in direct proportion to the number of machines in your cluster. A self-managed HBase installation has a design bottleneck that limits the performance after a certain threshold is reached. Bigtable does not have this bottleneck, so you can scale your cluster up to handle more reads and writes.
Simple administration. Bigtable handles upgrades and restarts transparently, and it automatically maintains high data durability. To replicate your data, simply add a second cluster to your instance, and replication starts automatically. No more managing replicas or regions; just design your table schemas, and Bigtable will handle the rest for you.
Cluster resizing without downtime. You can increase the size of a Bigtable cluster for a few hours to handle a large load, then reduce the cluster's size again-all without any downtime. After you change a cluster's size, it typically takes just a few minutes under load for Bigtable to balance performance across all of the nodes in your cluster.
NEW QUESTION # 61
How should a multinational organization that is migrating to Google Cloud consider security and privacy regulations to ensure that it is in compliance with global standards?
- A. Comply with data security and privacy regulations in each geographical region
- B. Comply with regional standards for data security and privacy, because they supersede all international regulations
- C. Comply with regional data security regulations, because they're more complex than privacy standards
- D. Comply with international standards for data security and privacy, because they supersede all regional regulations
Answer: A
Explanation:
Comply with data security and privacy regulations in each geographical region For a multi-national corporation, they need to abide not just by international laws, but also regional laws where they do business.
NEW QUESTION # 62
A startup client of yours does offline data processing for a few of its clients. They are mi-grating their applications and the associated data to Google Cloud. They have 100TB of data to move. They presently have a very small private data center setup connected to a local internet provider. The maximum bandwidth they are able to get is 100Mbps. How long will it take them to transfer the data over the internet if the transfer goes smoothly?
- A. About 24 hours.
- B. About 2 years.
- C. About 12 days.
- D. About 100 days.
Answer: D
Explanation:
Explanation
The key reason I included this question is to clarify some terminologies that will be important for your estimates. The data size mentioned is a TB terabyte. Note the "byte". The speed is mentioned in Mbps, which is Megabits per second. Note the "bits". 8 bits make a byte. So, to get the actual number of bits transferred, you need to multiply the TB number by 8.
Total data transferred (in bits) = 100 * 1,000,000,000,000 * 8 bits
Speed = 100Mbps = 100 * 1,000,000. i.e. 100 million bits are transferred per second.
Hence time taken to transfer all the data = Total Data/Speed = 8,000,000 seconds.
Number of seconds in a day = 24*60*60 = 86,400
Total time taken in days = 8,000,000/86,400 = 92.59 days
Reference link
- https://cloud.google.com/architecture/migration-to-google-cloud-transferring-your-large-datasets#online_versu
NEW QUESTION # 63
What characteristics should an organization adopt to be a DevOps organization?
- A. All of the Above
- B. Product based teams over component teams.
- C. Teamwork over individual work
- D. Obsession with Automation over preoccupation with manual work
Answer: A
Explanation:
NEW QUESTION # 64
Which Google Cloud product gives you a consistent platform for multi-cloud application deployments and extends other Google Cloud services to your environment?
- A. Google Kubernetes Engine
- B. Virtual Public Cloud
- C. Compute Engine
- D. Anthos
Answer: D
Explanation:
https://cloud.google.com/anthos
NEW QUESTION # 65
What cloud service model would you want to select if you want to solve a particular busi-ness problem by providing CRM services in the cloud to your enterprises?
- A. PaaS
- B. SaaS
- C. IaaS
- D. CaaS
Answer: B
Explanation:
Explanation
SaaS - Software as a Service (SaaS) provides you a complete product that is run and managed by the service provider. You worry only about using the software and not about infrastructure.
SaaS provides the lowest level of flexibility and management control over the infrastructure. (Example:
Google Gsuite and MS O365)
NEW QUESTION # 66
An organization is searching for an open-source machine learning platform to build and deploy their own custom machine learning applications using TPUs.
Which Google Cloud product or service should the organization use?
- A. AutoML Vision
- B. Vision API
- C. BigQuery ML
- D. TensorFlow
Answer: D
Explanation:
Explanation
https://en.wikipedia.org/wiki/TensorFlow TensorFlow is a free and open-source software library for machine learning and artificial intelligence. Developer Google Brain Team
NEW QUESTION # 67
Your organization needs a large amount of extra computing power within the next two weeks.
After those two weeks, the need for the additional resources will end.
Which is the most cost-effective approach?
- A. Purchase multiple physical computers and scale workload across them
- B. Use a committed use discount to reserve a very powerful virtual machine
- C. Purchase one very powerful physical computer
- D. Start a very powerful virtual machine without using a committed use discount
Answer: D
NEW QUESTION # 68
What would provide near-unlimited availability of computing resources without requiring your organization to procure and provision new equipment?
- A. Public cloud
- B. Microservices
- C. Private cloud
- D. Containers
Answer: A
Explanation:
Reference:
NEW QUESTION # 69
Your organization is developing and deploying an application on Google Cloud. Tracking your Google Cloud spending needs to stay as simple as possible.
What should you do to ensure that workloads in the development environment are fully isolated from production workloads?
- A. Associate the development resources with their own network
- B. Apply a unique tag to development resources
- C. Put the development resources in their own project
- D. Associate the development resources with their own billing account
Answer: C
NEW QUESTION # 70
Which Google Cloud product gives you a consistent platform for multi-cloud application deployments and extends other Google Cloud services to your environment?
- A. Google Kubernetes Engine
- B. Virtual Public Cloud
- C. Compute Engine
- D. Anthos
Answer: D
NEW QUESTION # 71
Which of the following methods should you use when you require a dynamic way of provisioning VMs on Compute Engine when it is observed that the exact specifications will be in a dedicated configuration file and you want to follow Google's recommended practices.
- A. Cloud Composer
- B. Unmanaged Instance Group
- C. Managed Instance Group
- D. Deployment Manager
Answer: D
Explanation:
Explanation
The question is about a dynamic way to provision VM, it can be achieved by a Deployment manager or by using terraform. MIG is creating multiple machines based on templates by load balancing
NEW QUESTION # 72
You decide to migrate your on-premises environment to the cloud. You need to determine which resource components still need to be assigned ownership.
Which two functions are owned by a public cloud provider? (Choose two.)
- A. Fixing application security issues
- B. Hardware capacity management
- C. Hardware maintenance
- D. Infrastructure deployment automation
- E. Infrastructure architecture
Answer: B,C
Explanation:
Explanation
In a shared responsible model, hardware maintence and capacity management cloud provider is the responsible part.
NEW QUESTION # 73
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Google Cloud Digital Leader Certification Exam is an industry-recognized certification that demonstrates the candidate's expertise in using Google Cloud Platform. It is offered by Google Cloud, which is one of the leading cloud service providers in the world. Cloud-Digital-Leader exam is designed to validate the candidate's practical knowledge and skills, which can help them to advance their careers in cloud computing.
Google Cloud Digital Leader Certification Exam is a credential that certifies individuals who have a deep understanding of the Google Cloud Platform and the ability to lead digital transformation initiatives in their organization. Google Cloud Digital Leader certification exam is designed for professionals who are responsible for driving cloud adoption and migration, developing cloud-native applications, and implementing cloud-based solutions.
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