Google Cloud-Digital-Leader Exam Questions Free Practice Test

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Questions # 41:

An organization needs to categorize a large group of photographs using pre-trained machine learning.

Which Google Cloud product or service should the organization use?

Options:

Vision API

BigQuery ML

AutoML Vision

Looker

Expert Solution

Questions # 42:

An organization wants to deploy new workloads to the cloud but must keep some systems on-premises for compliance reasons Both environments must be managed centrally Which type of environment should the organization use1?

Options:

Hybrid cloud environment

Multi cloud environment

Container environment

Virtual machine environment

Expert Solution

Questions # 43:

A prospect wants to be able to store and analyze data. Their analysts already know SQL, but are not familiar with other technologies. Which of these databases can the analysts use without addi-tional training?

Options:

Cloud SQL, BigQuery, Datastore

Spanner, Cloud SQL, BigQuery

Cloud SQL, Firestore, Datastore

Cloud SQL, Bigtable, BigQuery

Expert Solution

Questions # 44:

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

Expert Solution

Questions # 45:

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?

Options:

Firestore

Cloud Data Fusion

Cloud SQL

Cloud Bigtable

Expert Solution

Answer

Explanation

[Reference: https://cloud.google.com/bigtable, 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., , , , , ]

Questions # 46:

Your organization runs many workloads in different Google Cloud projects, each linked to the same billing account. Each project's workload costs can vary from month to month, but the overall combined cost of all projects is relatively stable. Your organization needs to optimize its cost.

What should your organization do?

Options:

Purchase a commitment per project for each project’s usual minimum

Create a billing account per project, and link each project to a different billing account

Turn on committed use discount sharing, and create a commitment for the combined usage

Move all workloads from all different projects into one single consolidated project

Expert Solution

Questions # 47:

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?

Options:

Enable committed use with discount sharing for the projects

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.

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.

Share a Google Sheet and request each project team to send in their estimate. Enable committed use accordingly on a per-project basis.

Expert Solution

Questions # 48:

Your organization needs to process large amounts of data from an online application that operates continuously. You do not want to be required to provision infrastructure or create server clusters. What should your organization choose?

Options:

Compute Engine with BigQuery

Dataproc

Google Kubernetes Engine with Cloud Bigtable

Dataflow

Expert Solution

Questions # 49:

Your company’s development team is building an application that will be deployed on Cloud Run. You are designing a CI/CD pipeline so that any new version of the application can be deployed in the fewest number of steps possible using the CI/CD pipeline you are designing. You need to select a storage location for the images of the application after the CI part of your pipeline has built them.

What should you do?

Options:

Create a Compute Engine image containing the application

Store the images in Container Registry

Store the images in Cloud Storage

Create a Compute Engine disk containing the application

Expert Solution

Questions # 50:

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?

Options:

You want a balance between flexibility for the customer and the level of management by the cloud provider

You want to minimize the level of management by the customer

You want to maximize flexibility for the customer.

You want to be able to shift your emphasis between flexibility and management by the cloud provider as business needs change

Expert Solution

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