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Question 181

A company with its own private data center have called you in for help with their disaster recovery planning. News of multiple ransomware attacks have made them very anxious. They want to make they are well prepared for such an eventuality. Which of these would be good recommendations?

The one data center is enough as long as you regularly back up data and save it in another place in the same DC.

It is better to have redundancy; so, set up another private data center nearby so that you can quickly go over in case of an emergency.

It is better to have redundancy; use one or many of the Google Cloud datacenters as a backup location.

The one data center is enough, as long as the data is encrypted; attackers won‘t be able to read the data.

Question 182

A small scale retailer has been collecting its point of sale transactions in a PostgreSQL database. They have raised funding for a strategic expansion goal in the next year that will see them grow significantly in Asia, Europe, and North America. Which database option should they choose on Google Cloud?

Cloud SQL

Bigtable

Spanner

BigQuery

Question 183

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?

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.

Enable committed use with discount sharing for the projects

Question 184

A travel services company that has existed more than 25 years is a client of yours. They have decided to move their data analytics solutions to Google Cloud. Over the years they have collected a large number of documents in the form of images, PDFs, and Word files. Until now they have not used any of these documents for any kind of data analysis because all their data that is analysed is in a tabular text form which they analyze with SQL. What should they do with all these whole documents in the form of images and PDF files?

Instead of storing it in a SQL database, store it in a NoSQL database like Firebase/Firestore.

Images and PDF documents cannot be analyzed with SQL queries. So unnecessarily storing them will be a cost burden, which can be avoided.

Store the documents in Cloud Storage. AI technologies on Google Cloud are able to extract data from such documents which can be used for analysis.

Bigtable can support images and PDFs. Store the files in Bigtable for analysis.

Question 185

Which of the following is / are true for Preemptible Instances?

Google Cloud Free Tier credits for compute engine do not apply to preemptible instances.

Preemptible Instances have no Service Level Agreement (Compute Engine SLA).

Preemptible instances can‘t live migrate to a regular VM instance, or be set to automatically restart when there is a maintenance event.

All of the above.

Question 186

A large travel company has thus far invested heavily in their technology team. There is strategic pressure on the company to focus on their core business and innovate to survive in certain geographies and thrive in others. They are evaluating whether a move to Google Cloud will be good for them. Which of these reasons would be relevant for them? (select 2)

Select all that apply

Budgeting won‘t be an issue since the cloud takes care of billing.

The IT team won‘t have to work on procuring and provisioning new hardware and refreshes to existing hardware.

Application architecture won‘t be too involved because of serverless options.

The IT team won‘t have to manage software upgrades, security patches, etc. for the VMs.

Question 187

What are the features of Google Cloud SQL Services?

Manual database provisioning, storage capacity management, and other time-consuming tasks.

Easy integration with existing apps and Google Cloud services like GKE and BigQuery.

Database Migration Service (DMS) makes it easy to migrate your production databases to Cloud SQL with minimal downtime.

B and C

Question 188

An online fashion retailer has decided to use containers as part of its application modernization programme. Their current process is for the development team to write the code for a few days. It is then passed on to the testing team. When they ok that, it goes to the security team for further checks, before it goes to the operations team for deployment. They want to speed this up. What would be one good option for them?

Change the team strategy so that the local teams are interleaved with offshore teams so that code dev, test, and security checks happen each day.

Create a common code repository for the dev, test, and security teams so that they can all be updated simultaneously about code changes.

Link their code repository to Cloud Build and create a build pipeline that will be started on code checkins.

In the resource hierarchy, create one common project. Create individual projects for each of the teams and share the common project.

Question 189

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 10 different sub parts, which they have identified will be the services. They also identify that each of them have different scale requirements – some services like user login are less frequently used while others like transactions are heavily used. What technical strategy would you recommend for them?

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 and as a backup and also for separately scaling the services, create new application binaries.

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

Question 190

A prospective customer of yours has been using a variety of open source software in their on-premise data centers for data analysis. They are witnessing increasing IT administration costs with maintaining these data tools. They are now looking to offload the IT tasks to Google Cloud and just focus on their application and data. In discussing with them, they are asking whether specific open source tools have equivalents on Google Cloud. Can you match the managed versions to the open source versions?

Dataflow = Apache Airflow.

Data Fusion = CDAP.

Dataproc = Hadoop/Spark.

Cloud Composer = Apache Beam.

Dataflow = Apache Airflow.

Data Fusion = Hadoop/Spark.

Dataproc = CDAP.

Cloud Composer = Apache Beam.

Dataflow = CDAP.

Data Fusion = Apache Beam.

Dataproc = Hadoop/Spark.

Cloud Composer = Apache Airflow.

Dataflow = Apache Beam.

Data Fusion = CDAP.

Dataproc = Hadoop/Spark.

Cloud Composer = Apache Airflow.

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