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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"?

A.
An input variable is used in making predictions. E.g. number of rooms in a house price prediction model.
A.
An input variable is used in making predictions. E.g. number of rooms in a house price prediction model.
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B.
One row of a dataset containing one or more input columns and possibly a prediction result.
B.
One row of a dataset containing one or more input columns and possibly a prediction result.
Answers
C.
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".
C.
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".
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D.
The "knobs" that you tweak during successive runs of training a model. E.g. learning rate
D.
The "knobs" that you tweak during successive runs of training a model. E.g. learning rate
Answers
Suggested answer: B

Explanation:

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

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

A retail store has discovered a cost-effective solution for creating self-service kiosks. They can use existing check-out hardware and purchase a virtual customer service application. Why do they also need an API?

A.
To connect the check-out hardware to the public cloud.
A.
To connect the check-out hardware to the public cloud.
Answers
B.
To connect the new application with the legacy system.
B.
To connect the new application with the legacy system.
Answers
C.
To migrate all customer data for disaster recovery.
C.
To migrate all customer data for disaster recovery.
Answers
D.
To update the check-out hardware remotely.
D.
To update the check-out hardware remotely.
Answers
Suggested answer: B

Explanation:

APIs can create new business value by connecting legacy systems (the checkout hardware) with new software (the virtual customer service application).

Your customer is making a decision on whether to move to Google Cloud. Their key concern is about 10,000 VMs that are part of their IT infrastructure used across more than 110 applications. They are apprehensive of too many changes at this stage. They want to get to Google Cloud in the easiest way possible with minimal disruption. What option would you recommend for them?

A.
Use Migrate for Anthos
A.
Use Migrate for Anthos
Answers
B.
Lift and shift the VMs to serverless options like App Engine Flex.
B.
Lift and shift the VMs to serverless options like App Engine Flex.
Answers
C.
Re-architect on-prem to use Kubernetes and then slowly extend and bridge the on-prem data center to the Google Cloud data center.
C.
Re-architect on-prem to use Kubernetes and then slowly extend and bridge the on-prem data center to the Google Cloud data center.
Answers
D.
Use Migrate for Compute
D.
Use Migrate for Compute
Answers
Suggested answer: D

Explanation:

Migrate for Compute Engine's advanced replication migration technology copies instance data to Google Cloud in the background with no interruptions to the source workload that's running.

https://cloud.google.com/migrate/compute-engine

You are leading projects in an IT services company. Your customer's project requires analyzing images.

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?

A.
Look for open-source labeled images that closely resemble the given images.
A.
Look for open-source labeled images that closely resemble the given images.
Answers
B.
Request data labeling service from Google.
B.
Request data labeling service from Google.
Answers
C.
Tell the customer it is their duty to label the images.
C.
Tell the customer it is their duty to label the images.
Answers
D.
Hire temporary workers who can quickly label the images.
D.
Hire temporary workers who can quickly label the images.
Answers
Suggested answer: C

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

You are working with the head of the IT team and planning the move of computing systems. The questionnaire indicates that they have a reporting application that runs almost 24 hours every day of the week. When there is extra load, it queues up the processing and executes tasks when there is less demand. Which of these compute options would you recommend for them?

A.
Use a serverless option - App Engine Standard for Flex
A.
Use a serverless option - App Engine Standard for Flex
Answers
B.
Use a server-based option - Compute Engine.
B.
Use a server-based option - Compute Engine.
Answers
C.
Use a serverless option - Cloud Functions
C.
Use a serverless option - Cloud Functions
Answers
D.
Serverless option - Cloud Run
D.
Serverless option - Cloud Run
Answers
Suggested answer: C

Explanation:

- Because Compute Engine VMs are the preferred compute option as they are long-running.

With respect to the Core Feature of Standby Instances of Cloud SQL which one of the options is correct.?

A.
The standby instance is used in high availability to replace the primary instance when failover occurs. The standby instance appears in the Google Cloud Console but does not get billed. When failover occurs, connections to the primary instance need to be manually transferred to the standby instance.
A.
The standby instance is used in high availability to replace the primary instance when failover occurs. The standby instance appears in the Google Cloud Console but does not get billed. When failover occurs, connections to the primary instance need to be manually transferred to the standby instance.
Answers
B.
The standby instance is used in high availability to replace the primary instance when failover occurs. The standby instance appears in the Google Cloud Console but does not get billed. When failover occurs, connections to the primary instance are automatically transferred to the standby instance.
B.
The standby instance is used in high availability to replace the primary instance when failover occurs. The standby instance appears in the Google Cloud Console but does not get billed. When failover occurs, connections to the primary instance are automatically transferred to the standby instance.
Answers
C.
The standby instance is used in high availability to replace the primary instance when failover occurs. The standby instance doesn't appear in the Google Cloud Console. When failover occurs, connections to the primary instance are automati-cally transferred to the standby instance.
C.
The standby instance is used in high availability to replace the primary instance when failover occurs. The standby instance doesn't appear in the Google Cloud Console. When failover occurs, connections to the primary instance are automati-cally transferred to the standby instance.
Answers
D.
None of the Above.
D.
None of the Above.
Answers
Suggested answer: C

Explanation:

The standby instance is used in high availability to replace the primary instance when failover occurs.

The standby instance doesn't appear in the Google Cloud Console. When failover occurs, connections to the primary instance are automatically transferred to the standby instance.

Cloud SQL Key Terms:

Cloud SQL instance

A Cloud SQL instance corresponds to one virtual machine (VM). The VM includes the database instance and accompanying software containers to keep the database instance up and running.

Database instance

A database instance is the set of software and files that operate the databases: MySQL, PostgreSQL or SQL Server.

High availability

Cloud SQL instances using high availability (HA) provide greater reliability than non-HA instances.

HA in Cloud SQL works by having two synchronized instances: a primary instance and a standby instance. Each instance has exactly one VM. Each instance is in a different zone in the same region.

Failover

A failover is when Cloud SQL switches serving from the original primary instance to the standby instance.

Autofailover is a mechanism that automatically triggers failover when a Cloud SQL instance didn't issue a heartbeat in the previous interval.

Standby instances

The standby instance is used in high availability to replace the primary instance when failover occurs.

The standby instance doesn't appear in the Google Cloud Console. When failover occurs, connections to the primary instance are automatically transferred to the standby instance.

Clone

When you clone a Cloud SQL instance, you create a new instance that is a copy of the source instance, but is completely independent. After cloning is complete, changes to the source instance are not reflected in the clone, and changes in the clone are not reflected in the source instance.

Replication

Replication is the ability to create copies of a Cloud SQL instance or an on-premises database, and offload work to the copies. The main reason for using replication is to scale the use of data in a database without degrading performance on the primary instance.

Read replica

The read replica is an exact copy of the primary instance. Data and other changes on the primary instance are updated in almost real time on the read replica. Send your write transactions to the primary instance, and your read requests to the read replica. The read replica processes queries, read requests, and analytics traffic, thus reducing the load on the primary instance.

Source server

Replication copies transactions from a primary instance to one or more read replicas. The primary instance is also called the source server. The source server can be a Cloud SQL primary instance, or a server outside of Google Cloud, such as an on-premises server or a server running in a different cloud. If the source server is outside of Google Cloud, we call it Replication from an external server.

Cloud SQL Auth proxy client

The Cloud SQL Auth proxy client is open source software maintained by Cloud SQL. It connects to a companion process, the Cloud SQL Auth proxy server, running on your Cloud SQL instance. You run the Cloud SQL Auth proxy client on your own servers. The Cloud SQL Auth proxy client can be used to establish a secure SSL/TLS connection to the database instance, and/or to avoid having to open the firewall. Authentication is done through Identity and Access

Management (IAM).

You are a database manager working for a new product that will need millions of reading and writing from the database, with zero downtime, key-value i.e. NoSQL features, no manual steps should be required to ensure consistency, repair data, synchronize writes and deletes, Which of the following database you choose?

A.
Cloud SQL
A.
Cloud SQL
Answers
B.
Cloud BigTable
B.
Cloud BigTable
Answers
C.
Cloud Spanner
C.
Cloud Spanner
Answers
D.
Cloud Firestore
D.
Cloud Firestore
Answers
Suggested answer: B

Explanation:

Cloud BigTable

Key features

High throughput at low latency

Bigtable is ideal for storing very large amounts of data in a key-value store and supports high read and write throughput at low latency for fast access to large amounts of data. Throughput scales linearlyóyou can increase QPS (queries per second) by adding Bigtable nodes. Bigtable is built with proven infrastructure that powers Google products used by billions such as Search and Maps.

Cluster resizing without downtime

Scale seamlessly from thousands to millions of reads/writes per second. Bigtable throughput can be dynamically adjusted by adding or removing cluster nodes without restarting, meaning you can increase the size of a Bigtable cluster for a few hours to handle a large load, then reduce the cluster's size againóall without any downtime.

Flexible, automated replication to optimize any workload

Write data once and automatically replicate where needed with eventual consistencyógiving you control for high availability and isolation of reading and write workloads. No manual steps are needed to ensure consistency, repair data, or synchronize writes and deletes. Benefit from a high availability SLA of 99.999% for instances with multi-cluster routing across 3 or more regions (99.9% for single-cluster instances).

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

A.
Do not support Private IP (private service access).
A.
Do not support Private IP (private service access).
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B.
Customer data is encrypted on Google's internal networks and in database tables, temporary files, and backups.
B.
Customer data is encrypted on Google's internal networks and in database tables, temporary files, and backups.
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C.
Do not Provide automated and on-demand backups and point-in-time recovery.
C.
Do not Provide automated and on-demand backups and point-in-time recovery.
Answers
D.
None of the above
D.
None of the above
Answers
Suggested answer: B

Explanation:

Cloud SQL for MySQL:

Features

- Fully managed MySQL Community Edition databases in the cloud.

- Cloud SQL instances support MySQL 8.0, 5.7 (default), and 5.6, and provide up to 624 GB of RAM and 64 TB of data storage, with the option to automatically increase the storage size, as needed.

- Create and manage instances in the Google Cloud Console.

- Instances are available in the Americas, EU, Asia, and Australia.

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

- Support for secure external connections with the Cloud SQL Auth proxy or with the SSL/TLS protocol.

- Support for private IP (private services access).

- Data replication between multiple zones with automatic failover.

- Import and export databases using mysqldump, or import and export CSV files.

- Support for MySQL wire protocol and standard MySQL connectors.

- Automated and on-demand backups and point-in-time recovery.

- Instance cloning.

- Integration with Google Cloud's operations suite logging and monitoring.

What issues can arise when organizations integrate third-party systems into their cloud infrastructure?

A.
Third-party systems may not be powerful enough to run many critical business applications.
A.
Third-party systems may not be powerful enough to run many critical business applications.
Answers
B.
Without sufficient security measures and regular checks, unsecured third-party systems can pose a threat to data security.
B.
Without sufficient security measures and regular checks, unsecured third-party systems can pose a threat to data security.
Answers
C.
Over-reliance on third-party systems limits an organization's potential for innova-tion.
C.
Over-reliance on third-party systems limits an organization's potential for innova-tion.
Answers
D.
Third-party systems are less capable of addressing an organization's security re-quirements.
D.
Third-party systems are less capable of addressing an organization's security re-quirements.
Answers
Suggested answer: B

Explanation:

Because unsecured third-party systems are a cybersecurity threat.

A customer of yours has an SLA with their client that a particular service will respond within 4 seconds.

The end client has reported that it feels slower. Your engineers do a trial at the client site and notice that there seems to be a delay for many of the requests. It's your team's responsibility to identify the issue quickly within the strict timeline for fixes according to the contract, and then fix it. What should you do?

A.
Recommend a move to serverless technologies which will scale automatically on demand.
A.
Recommend a move to serverless technologies which will scale automatically on demand.
Answers
B.
Add logging statements at multiple points in the application, build it, and deploy it. Now new requests will give us information on latency in the logs.
B.
Add logging statements at multiple points in the application, build it, and deploy it. Now new requests will give us information on latency in the logs.
Answers
C.
Check if the browsers used by the client are different from yours. If they are, that's most likely the issue. Ensure that everybody uses the latest version of the browser that you are also using.
C.
Check if the browsers used by the client are different from yours. If they are, that's most likely the issue. Ensure that everybody uses the latest version of the browser that you are also using.
Answers
D.
Use Cloud Trace to collect latency data and track how requests propagate and why there is a delay.
D.
Use Cloud Trace to collect latency data and track how requests propagate and why there is a delay.
Answers
Suggested answer: D

Explanation:

Cloud Trace is a built-in tool in the Operations suite to identify issues like latency.

-> Such fixes are unlikely to change core issues like the service itself being architected or written suboptimally.

Though changes like browser, networking, etc. are helpful, it would be the wrong approach to first recommend that the customer upgrade all their hardware and software.

-> Rewriting code and logging information is going to be time consuming. In general though, logging should always be included in code and it can give good insights. But tracing is way more specific and comprehensive for this requirement.

-> In certain cases, we might identify scaling as the issue. But we should first identify the core problem. So, start with tracing. We can also achieve scale in server-ful technologies.

Reference link- https://cloud.google.com/trace

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