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Google Cloud-Digital-Leader Sample Questions – Free Practice Test & Real Exam Prep
Question #1
A Customer has their current SAP systems using Microsoft SQL Server as the Database.
They are migrating to Google Cloud and also preparing to later migrate to the latest version of SAP. The entire IT team is being directed to focus on the migration to the new version of SAP. The new version of SAP does not use Microsoft SQL Server as the Database,
Any but the most critical IT management tasks are being deprioritized, How should they
migrate their current database to Google Cloud?
A. Spanner
B. Bare Metal
C. BigQuery
D. Cloud SQL
Answer: D Explanation: Cloud SQL supports SQL Server, Since the IT team's attention is being focused on other activities, they will have less time for existing admin tasks, It would be best to take a managed/hosted version.
Question #2
You are consulting for a client who is migrating to Google Cloud. They presently have a
matrix or-ganization. Their IT environments were managed around projects. Each team had
multiple projects. All the projects had a flat structure under the company. What would you
advise them when plan-ning for the move?
A. On Google Cloud, create a folder corresponding to each team. Under that, there could be projects or further sub folders as the team decides.
B. In terms of not disturbing the project developers and testers, advise them that the strategic decision is to retain the structure on Google Cloud also.
C. Since a Project could spawn other sub-Projects, on Google Cloud it is better to as-sign a folder for each Project.
D. The flat structure is what is currently used in IT organizations, and this can be used as-is which will provide the best results.
Answer: A Explanation: Folders for a related group of projects are the recommended approach. -> A flat structure under the organization node is possible on Google Cloud, but it is not recommended. It becomes tougher to manage. -> Projects cannot have sub-projects; there can only be resources within Projects. Reference link- https://cloud.google.com/resource-manager/docs/cloud-platformresource-hierarchy
Question #3
Your company has signed up with a cloud provider and you will be using storage and virtual machines with the provider. The provider has provided your organization some expectations for what the service should perform at. What type of agreement provides a guarantee of a certain level of service such as “Uptime”?
A. Performance Agreement
B. Interconnection Agreement
C.
Warranty
D. Service Level Agreement
Answer: D Explanation: Service Level Agreement (SLA) A service level agreement (SLA) is a contract between a service provider (either internal or external) and the end user that defines the level of service expected from the service provider. Some common SLA’s are uptime, Response Time, etc.
Question #4
Which of the following statements is / are correct about Machine Learning?
A. Machine learning examples include chatbots and automated virtual assistants to automate routine customer service tasks and speed up issue resolution.
B. Machine learning automates the job of building statistical models with Human In-tervention.
C. Robotic process automation (RPA) can not be attached with ML.
D. None of the Above.
Answer: A Explanation: Customer service Machine learning examples include chatbots and automated virtual assistants to automate routine customer service tasks and speed up issue resolution.
Question #5
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?
A. NoSQL database like Firestore
B. OLAP database like BigQuery which support SQL
C. SQL database like MySQL or PostgreSQL
D. OLTP database like Cloud Spanner
Answer: A Explanation: 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.
Question #6
Your organization needs to plan its cloud infrastructure expenditures.
Which should your organization do?
A. Review cloud resource costs frequently, because costs change often based on use
B. Review cloud resource costs annually as part of planning your organization’s overall budget
C. If your organization uses only cloud resources, infrastructure costs are no longer part of your overall budget
D. Involve fewer people in cloud resource planning than your organization did for onpremises resource planning
Answer: A Explanation: Review cloud resource costs frequently, because costs change often based on use because One need to know current usage/ trend for planning; While public cloud
eliminates capex, and gets into pay as you go model, the usage pattern determines the
cloud cost and hence needs to be measured frequently to enable better forecast
Question #7
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).
B. Customer data is encrypted on Google's internal networks and in database tables, temporary files, and backups.
C. Do not Provide automated and on-demand backups and point-in-time recovery.
D. None of the above
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.
Question #8
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?
A. Cloud SQL, BigQuery, Datastore
B. Spanner, Cloud SQL, BigQuery
C. Cloud SQL, Firestore, Datastore
D. Cloud SQL, Bigtable, BigQuery
Answer: B Explanation: Spanner, Cloud SQL, BigQuery
Spanner- Cloud Spanner is a fully managed, mission-critical, relational database service
that offers transactional consistency at global scale, automatic, synchronous replication for
high availability, and support for two SQL Google Standard SQL and PostgreSQL.
Cloud SQL- Cloud SQL is a fully-managed database service that helps you set up,
maintain, manage, and administer your relational databases on Google Cloud Platform.
BigQuery- Google BigQuery is a cloud-based Architecture and provides exceptional
performance as it can auto-scale up and down based on the data load and performs data
analysis efficiently. On the other hand, SQL Server is based on client-server architecture
and has fixed performance throughout unless the user scales it manually.
Question #9
Customer Managed Encryption Keys (CMEK) can be used for encrypting data inside Cloud
BigTable, which of the following statements is/are correct. (Select two answer)
A. Administrators can not rotate
B. Not supported for instances that have clustered in more than one region.
C. CMEK can only be configured at the cluster level.
D. You can not use the same CMEK key in multiple projects
Answer: B,C Explanation: Customer-managed encryption keys for Cloud BigTable.
By default, all the data at rest in Cloud Bigtable is encrypted using Google's default
encryption. Bigtable handles and manages this encryption for you without any additional
action on your part.
If you have specific compliance or regulatory requirements related to the keys that protect
your data, you can use customer-managed encryption keys (CMEK) for BigTable. Instead
of Google managing the encryption keys that protect your data, your BigTable instance is
protected using a key that you control and manage in Cloud Key Management Service
(Cloud KMS).
Features
Security: CMEK provides the same level of security as Google's default encryption but
provides more administrative control.
Data access control: Administrators can rotate, manage access to, and disable or destroy
the key used to protect data at rest in BigTable .
Auditability: All actions on your CMEK keys are logged and viewable in Cloud Logging.
Comparable performance: BigTable CMEK-protected instances offer comparable
performance to BigTable instances that use Google default encryption.
Flexibility: You can use the same CMEK key in multiple projects or instances or you can
use separate keys, depending on your business needs.
Question #10
A customer deploys an application to App Engine and needs to check for Open Web Application Security Project (OWASP) vulnerabilities. Which service should be used to accomplish this?
A. Cloud Armor
B. Cloud Security Scanner
C. Binary Authorization
D. Forseti Security
Answer: B Explanation: Web Security Scanner identifies security vulnerabilities in your App Engine,
Google Kubernetes Engine (GKE), and Compute Engine web applications. It crawls your
application, following all links within the scope of your starting URLs, and attempts to
exercise as many user inputs and event handlers as possible.
Currently, Web Security Scanner only supports public URLs and IPs that aren’t behind a
firewall. Web Security Scanner currently supports the App Engine standard environment
and App Engine flexible environments, Compute Engine instances, and GKE resources. Reference link- https://cloud.google.com/security-command-center/docs/concepts-websecurity-scanner-overview
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