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Viewing questions 31-40 out of questions

Questions # 31:

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?

Options:

Containerize the services and orchestrate them with Google Kubernetes Engine.

Retain the original application in Compute Engine and scale it as needed using Managed Instance Groups.

Retain the original application as a backup and also for separately scaling the ser-vices, create new application binaries.

Retain the original application in Compute Engine and scale it as needed using Unmanaged Instance Groups.

Questions # 32:

Your customer is moving to Google Cloud. They have many teams, each working on many projects. How should they organize resources?

Options:

Let each team have one shared Folder with multiple Projects within it so that there is a separation of concerns.

Let each Project have one Folder so that there is a clear separation of concerns.

Let each team have an Organization so that they can entirely manage themselves with their own identity.

Let each team have one shared Project so that it is easy to manage.

Questions # 33:

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

Options:

Do not support Private IP (private service access).

Customer data is encrypted on Google's internal networks and in database tables, temporary files, and backups.

Do not Provide automated and on-demand backups and point-in-time recovery.

None of the above

Questions # 34:

Keeping Flavours of Apigee in mind, which of the following statements is/are correct?

Options:

A hybrid version consisting of a runtime plane installed on-premises or in a cloud provider of your choice, and a management plane running in Apigee's cloud. In this model, API traffic and data are confined within your own enterprise-approved boundaries.

A hosted SaaS version in which Apigee maintains the environment, allowing you to concentrate on building your services and defining the APIs to those services.

There are two types of Flavours in Apigee i.e. Apigee & Apigee Hybrid.

All of the above are correct.

Questions # 35:

Considering Different Storage and database options e.g. Cloud Datastore, Cloud SQL, Cloud Stor-age, etc. Which of the following statements is/are correct? ( Select two answer)

Options:

Cloud DataStore and Cloud SQL have Terabytes + and Terabytes Capacity respec-tively.

Cloud Bigtable and Cloud Storage both have Petabytes + capacity.

Cloud Bigtable and Cloud Storage both have not Petabytes + capacity.

None of the above.

Questions # 36:

You are discussing scaling requirements with a gaming company. When the game launches, they are expecting incoming data surges of 2 million users or more during weekends and holidays. Their on-premise systems have had issues scaling and they want your advice on solving the issue. What do you recommend?

Options:

Either Compute Engine VMs or Kubernetes nodes work, but it is better to keep a buffer of an extra 2 million users.

We can deploy a Pub/Sub to ingest data which will grow to absorb demand and pass it on to other stages.

We will allocate Compute Engine VMs estimating 80% capacity of 2 million users.

We will allocate Kubernetes nodes estimating 80% capacity of 2 million users.

Questions # 37:

A customer has a tens of applications that are dependent on Oracle databases in their on-premise data centers. The customer wants to migrate to Google Cloud. Their long term goal is to move to other cloud native database technologies. What options do they have to initially move their data?

Options:

Migrate to a Bare Metal server.

Migrate to Cloud SQL.

Since there is no hosted Oracle solution, leave the Oracle data on-premise while doing analytics on Google Cloud.

Containerize Oracle and run it using Cloud Run.

Questions # 38:

The Border Security Agency has hired your software services firm to build an application for them that will collect information about visas stamped on passports. You are given stamped images. You have to find out which country issued the visa and the period of validity. Pull out this data and put it into a database. Which of these applications would be suitable for that?

Options:

Use Cloud Vision API - write code to identify the text blocks, copy the data, and store it

Use TensorFlow - write code that will identify the type of visa and the bounding text blocks. Copy the data and then store it.

Use AutoML - upload other images of visas and run the model creation process which will automatically identify the visas

Use Data Labeling service - outsource the work of marking and extracting the in-formation to others.

Questions # 39:

While on-premise, an enterprise had multiple teams, each with its own analytics data store. Attempts to converge the storage for centralized, company-wide analysis failed because of speed and scaling issues. What would be the preferred destination architecture on Google Cloud?

Options:

Migrate to Bigtable which provides high throughput reads and writes.

Migrate to Cloud Spanner as a globally scalable SQL database.

Migrate to BigQuery as a central data warehouse.

Migrate to Cloud SQL which supports multiple databases like MySQL, PostgreSQL, and SQL Server - all of the customer's SQL databases can be accommodated here.

Questions # 40:

Which of these are defined by the following statement: a contract you have with your end custom-ers, which, if you don't meet, you might even have to pay fines?