Cloud-Digital-Leader Exam Dumps - Google Cloud Digital Leader exam

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Question # 49

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?

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

Create reservations on Compute Engine and BigQuery.

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

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

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Question # 50

Which Google Cloud product can report on and maintain compliance on your entire Google Cloud organization to cover multiple projects?

Cloud Logging

Identity and Access Management

Google Cloud Armor

Security Command Center

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Question # 51

What are the network requirements for Private Google Access?

Private Google Access automatically enables any API.

Your network must have appropriate routes for the destination IP ranges used by Google APIs and services.

Both A and B

None of the Above

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Question # 52

The CFO is attending one of the preliminary meetings in the migration strategy meeting. She brings up the concern about costs. They have contracts with their vendors and the payments they will need to make when purchasing any kind of infrastructure. This gives them a clear view of numbers for resource budgeting and planning. Can she get the same kind of clarity on Google Cloud?

Yes. Do a trial run of typical workloads. See the billing amount and that becomes the base reference.

Yes, the Cloud Native Computing Foundation publishes yearly numbers on the cost of running the cloud. Use that as a reference.

Yes, the Pricing Calculator can be used to estimate the cost of resources.

Yes, Google provides a typical cost of application workloads by region and indus-try. Use that as a reference.

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Question # 53

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?

Firestore

Cloud Data Fusion

Cloud SQL

Cloud Bigtable

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Answer:

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 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 theÂ 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.Â 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.Â Bigtable handles upgrades and restarts transparently, and it automatically maintains highÂ 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.Â You can increase the size of a Bigtable cluster for a few hours to handle a large load, then reduce the cluster's size againâ€”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 # 54

Your organization wants to be sure that is expenditures on cloud services are in line with the budget. Which two Google Cloud cost management features help your organization gain greater visibility into its cloud resource costs? (Choose two.)

Billing dashboards

Resource labels

Sustained use discounts

Financial governance policies

Payments profile

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Question # 55

Your organization consists of many teams. Each team has many Google Cloud projects. Your organization wants to simplify the management of identity and access policies for these projects.

How can you group these projects to meet this goal?

Group each teamâ€™s projects into a separate domain

Assign labels based on the virtual machines that are part of each teamâ€™s projects

Use folders to group each teamâ€™s projects

Group each teamâ€™s projects into a separate organization node

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Question # 56

You are a program manager for a team of developers who are building an event-driven application to allow users to follow one anotherâ€™s activities in the app. Each time a user adds himself as a follower of another user, a write occurs in the real-time database.

The developers will develop a lightweight piece of code that can respond to database writes and generate a notification to let the appropriate users know that they have gained new followers. The code should integrate with other cloud services such as Pub/Sub, Firebase, and Cloud APIs to streamline the orchestration process. The application requires a platform that automatically manages underlying infrastructure and scales to zero when there is no activity.

Which primary compute resource should your developers select, given these requirements?

Google Kubernetes Engine

Cloud Functions

App Engine flexible environment

Compute Engine

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