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Google Professional-Cloud-Architect資格取得講座

Professional-Cloud-Architect対応資料、Professional-Cloud-Architect資格問題集

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Google Certified Professional - Cloud Architect (GCP) 認定 Professional-Cloud-Architect 試験問題 (Q134-Q139):

質問 # 134
TerramEarth plans to connect all 20 million vehicles in the field to the cloud. This increases the volume to 20 million 600 byte records a second for 40 TB an hour.
How should you design the data ingestion?

A. Vehicles continue to write data using the existing system (FTP)
B. Vehicles stream data directly to Google BigQuery
C. Vehicles write data directly to GCS
D. Vehicles write data directly to Google Cloud Pub/Sub

正解：B

解説：
Streamed data is available for real-time analysis within a few seconds of the first streaming insertion into a table.
Instead of using a job to load data into BigQuery, you can choose to stream your data into BigQuery one record at a time by using the tabledata().insertAll() method. This approach enables querying data without the delay of running a load job.
References: https://cloud.google.com/bigquery/streaming-data-into-bigquery

質問 # 135
The current Dress4win system architecture has high latency to some customers because it is located in
one data center.
As of a future evaluation and optimizing for performance in the cloud, Dresss4win wants to distribute its
system architecture to multiple locations when Google cloud platform.
Which approach should they use?

A. Use regional managed instance groups and a global load balancer to increase performance because
the regional managed instance group can grow instances in each region separately based on traffic.
B. Use regional managed instance groups and a global load balancer to increase reliability by providing
automatic failover between zones in different regions.
C. Use a global load balancer with a set of virtual machines that forward the requests to a closer group of
virtual machines as part of a separate managed instance groups.
D. Use a global load balancer with a set of virtual machines that forward the requests to a closer group of
virtual machines managed by your operations team.

正解：C

解説：
Explanation/Reference:
Testlet 1
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe
using a website and mobile application. The company also cultivates an active social network that
connects their users with designers and retailers. They monetize their services through advertising, e-
commerce, referrals, and a freemium app model. The application has grown from a few servers in the
founder's garage to several hundred servers and appliances in a collocated data center. However, the
capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth
and the company's desire to innovate faster. Dress4Win is committing to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is moving their development and test
environments. They are also building a disaster recovery site, because their current infrastructure is at a
single location. They are not sure which components of their architecture they can migrate as is and which
components they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location. All servers run Ubuntu LTS
v16.04.
Databases:
MySQL. 1 server for user data, inventory, static data:

- MySQL 5.8
- 8 core CPUs
- 128 GB of RAM
- 2x 5 TB HDD (RAID 1)
Redis 3 server cluster for metadata, social graph, caching. Each server is:

- Redis 3.2
- 4 core CPUs
- 32GB of RAM
Compute:
40 Web Application servers providing micro-services based APIs and static content.

- Tomcat - Java
- Nginx
- 4 core CPUs
- 32 GB of RAM
20 Apache Hadoop/Spark servers:

- Data analysis
- Real-time trending calculations
- 8 core CPUS
- 128 GB of RAM
- 4x 5 TB HDD (RAID 1)
3 RabbitMQ servers for messaging, social notifications, and events:

- 8 core CPUs
- 32GB of RAM
Miscellaneous servers:

- Jenkins, monitoring, bastion hosts, security scanners
- 8 core CPUs
- 32GB of RAM
Storage appliances:
iSCSI for VM hosts

Fiber channel SAN - MySQL databases

- 1 PB total storage; 400 TB available
NAS - image storage, logs, backups

- 100 TB total storage; 35 TB available
Business Requirements
Build a reliable and reproducible environment with scaled parity of production.

Improve security by defining and adhering to a set of security and Identity and Access Management

(IAM) best practices for cloud.
Improve business agility and speed of innovation through rapid provisioning of new resources.

Analyze and optimize architecture for performance in the cloud.

Technical Requirements
Easily create non-production environment in the cloud.

Implement an automation framework for provisioning resources in cloud.

Implement a continuous deployment process for deploying applications to the on-premises datacenter

or cloud.
Support failover of the production environment to cloud during an emergency.

Encrypt data on the wire and at rest.

Support multiple private connections between the production data center and cloud environment.

Executive Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure.
They are also concerned that a competitor could use a public cloud platform to offset their up-front
investment and free them to focus on developing better features. Our traffic patterns are highest in the
mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause
an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our
total cost of ownership (TCO) analysis over the next 5 years for a public cloud strategy achieves a cost
reduction between 30% and 50% over our current model.

質問 # 136
Your customer support tool logs all email and chat conversations to Cloud Bigtable for retention and analysis. What is the recommended approach for sanitizing this data of personally identifiable information or payment card information before initial storage?

A. Use regular expressions to find and redact phone numbers, email addresses, and credit card numbers
B. Encrypt all data using elliptic curve cryptography
C. De-identify the data with the Cloud Data Loss Prevention API
D. Hash all data using SHA256

正解：C

解説：
Explanation/Reference: https://cloud.google.com/solutions/pci-dss-compliance-in- gcp#using_data_loss_prevention_api_to_sanitize_data

質問 # 137
Case Study: 7 - Mountkirk Games
Company Overview
Mountkirk Games makes online, session-based, multiplayer games for mobile platforms. They build all of their games using some server-side integration. Historically, they have used cloud providers to lease physical servers.
Due to the unexpected popularity of some of their games, they have had problems scaling their global audience, application servers, MySQL databases, and analytics tools.
Their current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting.
Solution Concept
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics, and take advantage of its autoscaling server environment and integrate with a managed NoSQL database.
Business Requirements
Increase to a global footprint.
* Improve uptime - downtime is loss of players.
* Increase efficiency of the cloud resources we use.
* Reduce latency to all customers.
* Technical Requirements
Requirements for Game Backend Platform
Dynamically scale up or down based on game activity.
* Connect to a transactional database service to manage user profiles and game state.
* Store game activity in a timeseries database service for future analysis.
* As the system scales, ensure that data is not lost due to processing backlogs.
* Run hardened Linux distro.
* Requirements for Game Analytics Platform
Dynamically scale up or down based on game activity
* Process incoming data on the fly directly from the game servers
* Process data that arrives late because of slow mobile networks
* Allow queries to access at least 10 TB of historical data
* Process files that are regularly uploaded by users' mobile devices
* Executive Statement
Our last successful game did not scale well with our previous cloud provider, resulting in lower user adoption and affecting the game's reputation. Our investors want more key performance indicators (KPIs) to evaluate the speed and stability of the game, as well as other metrics that provide deeper insight into usage patterns so we can adapt the game to target users.
Additionally, our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to an environment that provides autoscaling, low latency load balancing, and frees us up from managing physical servers.
For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to migrate from their current analytics and statistics reporting model to one that meets their technical requirements on Google Cloud Platform.
Which two steps should be part of their migration plan? (Choose two.)

A. Load 10 TB of analytics data from a previous game into a Cloud SQL instance, and run test queries against the full dataset to confirm that they complete successfully.
B. Integrate Cloud Armor to defend against possible SQL injection attacks in analytics files uploaded to Cloud Storage.
C. Draw an architecture diagram that shows how to move from a single MySQL database to a MySQL cluster.
D. Write a schema migration plan to denormalize data for better performance in BigQuery.
E. Evaluate the impact of migrating their current batch ETL code to Cloud Dataflow.

正解：D、E

質問 # 138
For this question, refer to the Dress4Win case study.
At Dress4Win, an operations engineer wants to create a tow-cost solution to remotely archive copies of database backup files. The database files are compressed tar files stored in their current data center.
How should he proceed?

A. Create a cron script using gsutil to copy the files to a Coldline Storage bucket.
B. Create a Cloud Storage Transfer Service Job to copy the files to a Coldline Storage bucket.
C. Create a cron script using gsutil to copy the files to a Regional Storage bucket.
D. Create a Cloud Storage Transfer Service job to copy the files to a Regional Storage bucket.

正解：A

解説：
Follow these rules of thumb when deciding whether to use gsutil or Storage Transfer Service:
When transferring data from an on-premises location, use gsutil.
When transferring data from another cloud storage provider, use Storage Transfer Service.
Otherwise, evaluate both tools with respect to your specific scenario.
Use this guidance as a starting point. The specific details of your transfer scenario will also help you determine which tool is more appropriate

質問 # 139
......

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