Cloud-Digital-Leader試験無料問題集「Google Cloud Digital Leader 認定」

A. None of the Above.

B. Machine learning examples include chatbots and automated virtual assistants to automate routine customer service tasks and speed up issue resolution.

C. Robotic process automation (RPA) can not be attached with ML.

D. Machine learning automates the job of building statistical models with Human In-tervention.

A. The Compute Engine instance group

B. The Compute Engine service account

C. The project that owns the Compute Engine instance

D. The Compute Engine instance

A. Migrate the workloads to a central office building

B. Migrate the workloads to multiple local private clouds

C. Migrate the workloads to multiple local co-location facilities

D. Migrate the workloads to a public cloud

A. Automatically adjusts physical inventory in real time

B. Runs maintenance during seasonal sales

C. Recommends the right products to customers

D. Autoscales during peaks in demand

A. Roll out the new system to a subset of employees to test it out

B. Avoid rolling out the new system because it may violate privacy policy

C. Roll out the new system to all employees to collect as much data as possible

D. Avoid rolling out the new system because it may have security flaws

A. Coldline class

B. Standard class

C. Archive class

D. Nearline class

A. IP Ranges for example Client IP Address range used for communication between your Google Cloud and Bare Metal Solution environments.

B. Total number of VLANs you need in your Bare Metal Solution Environment.

C. All of the above

D. Google Cloud Project Id that you are using with your bare metal solution environ-ment.

A. Third-party systems may not be powerful enough to run many critical business applications.

B. Without sufficient security measures and regular checks, unsecured third-party systems can pose a threat to data security.

C. Over-reliance on third-party systems limits an organization's potential for innova-tion.

D. Third-party systems are less capable of addressing an organization's security re-quirements.

A. None of the Above.

B. Preemptible VMs don't have fixed pricing.

C. 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.

D. Both A & B

A. Export relational data to modern NoSQL databases.

B. Create monthly reports on data access and uses.

C. Delete data stored for over a year.

D. Establish an effective data governance program.

A. Use Cloud Monitoring.

B. Set service level objectives (SLOs).

C. Back up data regularly.

D. Enable autoscaling.

A. An opportunity to redefine existing business processes and services

B. An opportunity that is only relevant to the IT department

C. An opportunity to continue business as usual with new cost savings

D. An opportunity that is limited to large enterprises

A. Vision API

B. Looker

C. AutoML Vision

D. BigQuery ML

A. Cloud Composer

B. MySQL batch insert

C. BigQuery Data Transfer Service

D. Database Migration Service

A. An answer for a prediction task, either the answer produced by a machine learning system or the right answer supplied in training data. E.g. image contains a "cat".

B. The "knobs" that you tweak during successive runs of training a model. E.g. learning rate

C. One row of a dataset containing one or more input columns and possibly a prediction result.

D. An input variable is used in making predictions. E.g. number of rooms in a house price prediction model.

A. Cloud Run

B. GKE Autopilot

C. Compute Engine

D. GKE Standard

A. Reduced on-premises infrastructure management costs

B. Reduced cloud software licensing costs

C. Increased on-premises hardware maintenance costs

D. Increased cloud hardware management costs

A. GPUs

B. Containers

C. Hypervisors

D. Solid State Disk