Google Google Certifications CLOUD-DIGITAL-LEADER Questions & Answers

• Question 361:

  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?

  A. Firestore

  B. Cloud Data Fusion

  C. Cloud SQL

  D. Cloud Bigtable

  Correct Answer: D

  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 single-keyed 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 again--all 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.

• Question 362:

  Your customer has reliable information to indicate that they will use a certain amount of computing and analytics. The workloads are critical and they don't want to take a chance with VMs or BigQuery slots being unavailable during a peak period. How can they ensure that they allocate the capacity?

  A. Send in the filled form to Google Cloud support to reserve the Compute Engine and BigQuery resources required.

  B. Create reservations on Compute Engine and BigQuery.

  C. On the day the capacity is required, set a scheduled job that will provision as many resources as required and lock it in.

  D. Google Cloud is elastic for resources. You cannot reserve resources in advance; it is pay per use.

  Correct Answer: B

  Create reservations on Compute Engine and BigQuery. You can reserve capacity in advance and use it over a period of time. You could also get a cost advantage. => There is no need for involved support. It is self-serve via the console. => You can reserve resources in advance when you have the need for it. And when you want to take a pay-per-use approach, that is also possible. => It is not a good idea to be lock in/hoard resources; you'll pay unnecessarily for resources. Also, it is difficult to time exactly when the demand will be.

  References: https://cloud.google.com/compute/docs/instances/reserving-zonal-resources https://cloud.google.com/bigquery/docs/reservations-intro

• Question 363:

  Which of the following is/are true about Bare Metal Solutions?

  A. Enterprise-grade deployment platform

  B. All your existing investment in tooling and best practices will work as is

  C. Continue to run any version, and feature set, any database option, and any cus-tomizations (patchsets)

  D. All of the Above.

  Correct Answer: D

  Bare Metal Solution for Oracle

  Bring your Oracle workloads to Google Cloud with Bare Metal Solution and jumpstart your cloud journey with minimal risk.

  Continue to run any version, any feature set, any database option, and any customizations (patchsets)

  Enterprise-grade deployment platform

  High availability with Oracle RAC

  Works with any application, any Oracle versions

• Question 364:

  Your organization is moving an application to Google Cloud. As part of that effort, it needs to migrate the application's working database from another cloud provider to Cloud SQL. The database runs on the MySQL engine. The migration must cause minimal disruption to users. Data must be secured while in transit.

  Which should your organization use?

  A. BigQuery Data Transfer Service

  B. MySQL batch insert

  C. Database Migration Service

  D. Cloud Composer

  Correct Answer: C

  Reference: https://aws.amazon.com/dms/

• Question 365:

  An organization decides to migrate their on-premises environment to the cloud. They need to determine which resource components still need to be assigned ownership.

  Which two functions are owned by a public cloud provider? (Choose two.)

  A. Hardware maintenance

  B. Infrastructure architecture

  C. Infrastructure deployment automation

  D. Hardware capacity management

  E. Fixing application security issues

  Correct Answer: AD

  The Cloud Provider is responsible for the security "of the cloud" infrastructure. This includes the underlying hardware, data centers, networking, and the core services. It takes care of managing and protecting these foundational components to ensure the availability, reliability, and security of the cloud infrastructure.

  The customer is responsible for the security "in the cloud" or the security of their applications and data running on cloud services.

• Question 366:

  An organization wants to dynamically adjust its application to serve different user needs. What are the benefits of storing their data in the cloud for this use case?

  A. Data can be stored in archive for long term access

  B. Automatic data cleaning and validation

  C. Real-time data ingestion and analysis

  D. No data access management required

  Correct Answer: C

  By storing their application data in the cloud the organization will be able to gather and analyze user behavior data in real-time. This will enable them to dynamically adjust their application for different user needs.

• Question 367:

  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?

  A. Migrate your VMs to the cloud, and add more resources to them

  B. Convert your applications into containers

  C. Increase the resources of your VMs

  D. Automate your upgrade rollouts

  Correct Answer: B

  To make application deployments faster and improve release velocity, your organization should consider converting the applications into containers. Containers provide a lightweight and isolated runtime environment for applications, allowing for faster deployment and scaling.

• Question 368:

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

  A. 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.

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

  C. The one data center is enough, as long as the data is encrypted; attackers won't be able to read the data.

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

  Correct Answer: B

  A single data center is vulnerable. So any option involving that is not good. Reference Link:-https://www.coresite.com/blog/data-center-redundancy

• Question 369:

  Your organization wants to run a container-based application on Google Cloud. This application is expected to increase in complexity. You have a security need for fine-grained control of traffic between the containers. You also have an operational need to exercise fine-grained control over the application's scaling policies.

  What Google Cloud product or feature should your organization use?

  A. Google Kubernetes Engine cluster

  B. App Engine

  C. Cloud Run

  D. Compute Engine virtual machines

  Correct Answer: A

  Google Kubernetes Engine GKE seems a better fit since the requirement is for "security need for fine-grained control of traffic between the containers" and "fine-grained control over scaling policies". Such level of control is easier on GKE that Cloud Run.

  Reference link-https://cloud.google.com/blog/products/containers-kubernetes/when-to-use-google-kubernetes-engine-vs-cloud-run-for-containers

• Question 370:

  Your organization recently migrated its compute workloads to Google Cloud. You want these workloads in Google Cloud to privately and securely access your large volume of on-premises data, and you also want to minimize latency. What should your organization do?

  A. Use Storage Transfer Service to securely make your data available to Google Cloud

  B. Create a VPC between your on-premises data center and your Google resources

  C. Peer your on-premises data center to Google's Edge Network

  D. Use Transfer Appliance to securely make your data available to Google Cloud

  Correct Answer: B

  create a VPC between your on-premises data center and your Google resources. This can be achieved by using Private Google Access for on-premises hosts, which provides a way for on-premises systems to connect to Google APIs and services by routing traffic through a Cloud VPN tunnel or a VLAN attachment for Cloud Interconnect. This solution should minimize latency as traffic is routed through a Cloud VPN tunnel or a VLAN attachment for Cloud Interconnect, instead of traversing the public internet.