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Viewing questions 111-120 out of questions

Questions # 111:

You are a program manager for a team of developers who are building an event-driven application to allow users to follow one another’s activities in the app. Each time a user adds himself as a follower of another user, a write occurs in the real-time database.

The developers will develop a lightweight piece of code that can respond to database writes and generate a notification to let the appropriate users know that they have gained new followers. The code should integrate with other cloud services such as Pub/Sub, Firebase, and Cloud APIs to streamline the orchestration process. The application requires a platform that automatically manages underlying infrastructure and scales to zero when there is no activity.

Which primary compute resource should your developers select, given these requirements?

Options:

Google Kubernetes Engine

Cloud Functions

App Engine flexible environment

Compute Engine

Answer

Explanation

[Reference: https://firebase.google.com/docs/functions/use-cases, , Graphical user interface, text, application, email Description automatically generated, ]

Questions # 112:

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?

Options:

Cloud Storage

Cloud SQL

Cloud Spanner

BigQuery

Answer

Explanation

- Google Storage is GCP's version of AWS Simple Storage Service (S3) and an S3 bucket would be equivalent to a Google Storage bucket across the two clouds

112 Text Description automatically generated

Questions # 113:

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?

Options:

Look for open-source labeled images that closely resemble the given images.

Request data labeling service from Google.

Tell the customer it is their duty to label the images.

Hire temporary workers who can quickly label the images.

Answer

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, , ]

Questions # 114:

Your application is onboarding a number of users. The details of the users very widely. What kind of database would be most suitable for this use case?

Options:

NoSQL database like Firestore

OLAP database like BigQuery which support SQL

SQL database like MySQL or PostgreSQL

OLTP database like Cloud Spanner

Answer

Explanation

1.NoSQL databases are best suited for this use case. Firestore is an appropriate one to use here

2.Cloud Firestore is a NoSQL document database that lets you easily store, sync, and query data for your mobile and web apps - at global scale.

Questions # 115:

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?

Options:

Apply a unique tag to development resources

Associate the development resources with their own network

Associate the development resources with their own billing account

Put the development resources in their own project

Answer

Explanation

[Reference: https://www.deps.co/blog/google-cloud-platform-good-bad-ugly/, Project resources are components that are necessary for successful project implementation. They include people, equipment, money, time, knowledge – basically, anything that you may require from the project planning to the project delivery phases., , , ]

Questions # 116:

What is the difference between Standard and Coldline storage?

Options:

Coldline storage is for data for which a slow transfer rate is acceptable.

Standard and Coldline storage have different durability guarantees.

Standard and Coldline storage use different APIs.

Coldline storage is for infrequently accessed data.

Answer

Explanation

[Reference: https://www.msp360.com/resources/blog/google-cloud-nearline-storage-vs-coldline-vs-standard/, Google Cloud Coldline is a new cold-tier storage for archival data with access frequency of less than once per year. Unlike other cold storage options, Nearline has no delays prior to data access, so now it is the leading solution among competitors., , , , ]

Questions # 117:

Your organization wants to run a container-based application on Google Cloud. This application is expected to increase in complexity. You have a security need for fine-grained control of traffic between the containers. You also have an operational need to exercise fine-grained control over the application’s scaling policies.

What Google Cloud product or feature should your organization use?

Options:

Google Kubernetes Engine cluster

App Engine

Cloud Run

Compute Engine virtual machines

Answer

Explanation

Google Kubernetes Engine GKE seems a better fit since the requirement is for "security need for fine-grained control of traffic between the containers" and "fine-grained control over scaling policies". Such level of control is easier on GKE that Cloud Run.

117 Text Description automatically generated

Reference link- https://cloud.google.com/blog/products/containers-kubernetes/when-to-use-google-kubernetes-engine-vs-cloud-run-for-containers

Questions # 118:

Which Google Cloud product or feature makes specific recommendations based on security risks and compliance violations?

Options:

Google Cloud firewalls

Security Command Center

Cloud Deployment Manager

Google Cloud Armor

Answer

Explanation

[Reference: https://cloud.google.com/security-command-center, , Security Command Center is Security and risk management platform for Google Cloud., , , Reference link- https://cloud.google.com/security-command-center, , , , , ]

Questions # 119:

Your team is working on building a machine learning model. There are a bunch of terminologies that are being used. What is an "instance" or an "example"?

Options:

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

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

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".

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

Answer

Explanation

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

119 A picture containing timeline Description automatically generated

https://developers.google.com/machine-learning/guides/rules-of-ml#terminology

Questions # 120:

Your company security team manages access control to production systems using an LDAP directory group.

How is this access control managed in the Google Cloud production project?

Options:

Assign the proper role to the Service Account in the project's IAM Policy

Grant each user the roles/iam.serviceAccountUser role on a service account that exists in the Google Group.

Assign the proper role to the Google Group in the project's IAM Policy.

Create the project in a folder with the same name as the LDAP directory group.

Answer

Explanation

[Reference: https://cloud.google.com/blog/products/identity-security/achieving-identity-and-access-governance-on-google-cloud, , Text, letter Description automatically generated, ]

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Viewing questions 111-120 out of questions