Professional-Cloud-Architect考證 & Professional-Cloud-Architect考試心得

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最新的 Google Cloud Certified Professional-Cloud-Architect 免費考試真題 (Q123-Q128):

問題 #123
Operational parameters such as oil pressure are adjustable on each of TerramEarth's vehicles to increase their efficiency, depending on their environmental conditions. Your primary goal is to increase the operating efficiency of all 20 million cellular and unconnected vehicles in the field.
How can you accomplish this goal?

A. Implement a Google Cloud Dataflow streaming job with a sliding window, and use Google Cloud Messaging (GCM) to make operational adjustments automatically
B. Capture all operating data, train machine learning models that identify ideal operations, and run locally to make operational adjustments automatically
C. Capture all operating data, train machine learning models that identify ideal operations, and host in Google Cloud Machine Learning (ML) Platform to make operational adjustments automatically
D. Have you engineers inspect the data for patterns, and then create an algorithm with rules that make operational adjustments automatically

答案：C

解題說明：
Explanation/Reference: https://cloud.google.com/customers/ocado/
TerramEarth, B
Testlet 1
Company Overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries. About 80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in
100 countries. Their mission is to build products that make their customers more productive.
Solution Concept
There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second. Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced. The data is downloaded via a maintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules.
Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. At a rate of 120 fields of data per second, with 22 hours of operation per day, TerramEarth collects a total of about 9 TB/day from these connected vehicles.
Existing Technical Environment
TerramEarth's existing architecture is composed of Linux and Windows-based systems that reside in a single
U.S, west coast based data center. These systems gzip CSV files from the field and upload via FTP, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4 weeks while they wait for replacement parts.
Business Requirements
* Decrease unplanned vehicle downtime to less than 1 week
* Support the dealer network with more data on how their customers use their equipment to better position new products and services
* Have the ability to partner with different companies - especially with seed and fertilizer suppliers in the fast- growing agricultural business - to create compelling joint offerings for their customers Technical Requirements
* Expand beyond a single datacenter to decrease latency to the American Midwest and east coast
* Create a backup strategy
* Increase security of data transfer from equipment to the datacenter
* Improve data in the data warehouse
* Use customer and equipment data to anticipate customer needs
Application 1: Data ingest
A custom Python application reads uploaded datafiles from a single server, writes to the data warehouse.
Compute:
* Windows Server 2008 R2
- 16 CPUs
- 128 GB of RAM
- 10 TB local HDD storage
Application 2: Reporting
An off the shelf application that business analysts use to run a daily report to see what equipment needs repair.
Only 2 analysts of a team of 10 (5 west coast, 5 east coast) can connect to the reporting application at a time.
Compute:
* Off the shelf application. License tied to number of physical CPUs
- Windows Server 2008 R2
- 16 CPUs
- 32 GB of RAM
- 500 GB HDD
Data warehouse:
* A single PostgreSQL server
- RedHat Linux
- 64 CPUs
- 128 GB of RAM
- 4x 6TB HDD in RAID 0
Executive Statement
Our competitive advantage has always been in our manufacturing process, with our ability to build better vehicles for lower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. My goals are to build our skills while addressing immediate market needs through incremental innovations.

問題 #124
All compute Engine instances in your VPC should be able to connect to an Active Directory server on
specific ports. Any other traffic emerging from your instances is not allowed. You want to enforce this using
VPC firewall rules.
How should you configure the firewall rules?

A. Create an egress rule with priority 100 to deny all traffic for all instances. Create another egress rule
with priority 1000 to allow the Active Directory traffic for all instances.
B. Create an egress rule with priority 100 to allow the Active Directory traffic. Rely on the implied deny
egress rule with priority 1000 to block all traffic for all instances.
C. Create an egress rule with priority 1000 to deny all traffic for all instances. Create another egress rule
with priority 100 to allow the Active Directory traffic for all instances.
D. Create an egress rule with priority 1000 to allow the Active Directory traffic. Rely on the implied deny
egress rule with priority 100 to block all traffic for all instances.

答案：A

問題 #125
Dress4Win has asked you to recommend machine types they should deploy their application servers to.
How should you proceed?

A. Perform a mapping of the on-premises physical hardware cores and RAM to the nearest machine types in the cloud.
B. Recommend that Dress4Win deploy application servers to machine types that offer the highest RAM to CPU ratio available.
C. Identify the number of virtual cores and RAM associated with the application server virtual machines align them to a custom machine type in the cloud, monitor performance, and scale the machine types up until the desired performance is reached.
D. Recommend that Dress4Win deploy into production with the smallest instances available, monitor them over time, and scale the machine type up until the desired performance is reached.

答案：D

問題 #126
One of your primary business objectives is being able to trust the data stored in your application. You want to log all changes to the application data. How can you design your logging system to verify authenticity of your logs?

A. Digitally sign each timestamp and log entry and store the signature.
B. Use a SQL database and limit who can modify the log table.
C. Create a JSON dump of each log entry and store it in Google Cloud Storage.
D. Write the log concurrently in the cloud and on premises.

答案：C

解題說明：
https://cloud.google.com/storage/docs/access-logs

問題 #127
You want to enable your running Google Container Engine cluster to scale as demand for your application changes. What should you do?

A. Option B
B. Option C
C. Option A
D. Option D

答案：B

解題說明：
https://cloud.google.com/kubernetes-engine/docs/concepts/cluster-autoscaler To enable autoscaling for an existing node pool, run the following command:
gcloud container clusters update [CLUSTER_NAME] --enable-autoscaling --min-nodes 1 --max- nodes 10 --zone [COMPUTE_ZONE] --node-pool default- pool

問題 #128
......

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最新的 Google Cloud Certified Professional-Cloud-Architect 免費考試真題 (Q123-Q128):

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