Google Cloud Digital Leader Practice Test - Questions Answers, Page 2
List of questions
Question 11
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Your organization stores highly sensitive data on-premises that cannot be sent over the public internet. The data must be processed both on-premises and in the cloud.
What should your organization do?
Explanation:
After the service provider provisions your connection, you can start passing traffic between your networks by using the service provider's network.
Reference: https://cloud.google.com/network-connectivity/docs/interconnect/concepts/partneroverview
Question 12
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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?
Explanation:
Reference: https://cloud.google.com/container-registry/docs/pushing-and-pulling
Question 13
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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?
Explanation:
Benefits of SaaS
The main benefit of SaaS is that it offloads all infrastructure and application management to the SaaS vendor.
Reference: https://www.ibm.com/cloud/learn/iaas-paas-saas
Question 14
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As your organization increases its release velocity, the VM-based application upgrades take a long time to perform rolling updates due to OS boot times. You need to make the application deployments faster.
What should your organization do?
Explanation:
Question 15
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Your organization uses Active Directory to authenticate users. Users' Google account access must be removed when their Active Directory account is terminated.
How should your organization meet this requirement?
Explanation:
Configure single sign-on in the Google domain
Single sign-on: Whenever a user needs to authenticate, Google Cloud delegates the authentication to Active Directory by using the Security Assertion Markup Language (SAML) protocol. This delegation ensures that only Active Directory manages user credentials and that any applicable policies or multi-factor authentication (MFA) mechanisms are being enforced. For a sign-on to succeed.
https://cloud.google.com/architecture/identity/federating-gcp-with-active-directory-introductionReference Link- https://cloud.google.com/architecture/identity/single-sign-on
Question 16
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Which Google Cloud product gives you a consistent platform for multi-cloud application deployments and extends other Google Cloud services to your environment?
Explanation:
https://cloud.google.com/anthos
Question 17
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Your organization is developing an application that will manage payments and online bank accounts located around the world. The most critical requirement for your database is that each transaction is handled consistently. Your organization anticipates almost unlimited growth in the amount of data stored.
Which Google Cloud product should your organization choose?
Explanation:
Features of Cloud Spanner
Reference: https://k21academy.com/google-cloud/cloud-sql-vs-cloud-spanner/
Question 18
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Your organization wants an economical solution to store data such as files, graphical images, and videos and to access and share them securely.
Which Google Cloud product or service should your organization use?
Explanation:
- Google Storage is GCP's version of AWS Simple Storage Service (S3) and an S3 bucket would be equivalent to a Google Storage bucket across the two clouds
Question 19
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Your organization wants to predict the behavior of visitors to its public website. To do that, you have decided to build a machine learning model. Your team has database-related skills but only basic machine learning skills, and would like to use those database skills.
Which Google Cloud product or feature should your organization choose?
Explanation:
Reference: https://cloud.google.com/architecture/predicting-customer-propensity-to-buy
Question 20
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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?
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 singlekeyed 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 againóall 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.
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