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NEW QUESTION 23
Your company is migrating its on-premises data center into the cloud. As part of the migration, you want to integrate Kubernetes Engine for workload orchestration. Parts of your architecture must also be PCI DSScompliant.
Which of the following is most accurate?

  • A. All Google Cloud services are usable because Google Cloud Platform is certified PCI-compliant.
  • B. Kubernetes Engine and GCP provide the tools you need to build a PCI DSS-compliant environment.
  • C. Kubernetes Engine cannot be used under PCI DSS because it is considered shared hosting.
  • D. App Engine is the only compute platform on GCP that is certified for PCI DSS hosting.

Answer: B

 

NEW QUESTION 24
You are developing a globally scaled frontend for a legacy streaming backend data API. This API expects events in strict chronological order with no repeat data for proper processing.
Which products should you deploy to ensure guaranteed-once FIFO (first-in, first-out) delivery of data?

  • A. Cloud Pub/Sub to Stackdriver
  • B. Cloud Pub/Sub to Cloud DataFlow
  • C. Cloud Pub/Sub alone
  • D. Cloud Pub/Sub to Cloud SQL

Answer: B

Explanation:
Reference https://cloud.google.com/pubsub/docs/ordering
Topic 2, Mountkirk Games
Company Overview
Mountkirk Games makes online, session-based. multiplayer games for the most popular mobile platforms.
Company Background
Mountkirk Games builds all of their games with some server-side integration and has historically used cloud providers to lease physical servers. A few of their games were more popular than expected, and they had problems scaling their application servers, MySQL databases, and analytics tools.
Mountkirk's 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.
Technical Requirements
Requirements for Game Backend Platform
1. Dynamically scale up or down based on game activity.
2. Connect to a managed NoSQL database service.
3. Run customized Linx distro.
Requirements for Game Analytics Platform
1. Dynamically scale up or down based on game activity.
2. Process incoming data on the fly directly from the game servers.
3. Process data that arrives late because of slow mobile networks.
4. Allow SQL queries to access at least 10 TB of historical data.
5. Process files that are regularly uploaded by users' mobile devices.
6. Use only fully managed services
CEO Statement
Our last successful game did not scale well with our previous cloud provider, resuming 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 gams to target users.
CTO Statement
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.
CFO Statement
We are not capturing enough user demographic data usage metrics, and other KPIs. As a result, we do not engage the right users. We are not confident that our marketing is targeting the right users, and we are not selling enough premium Blast-Ups inside the games, which dramatically impacts our revenue.

 

NEW QUESTION 25
The application reliability team at your company has added a debug feature to their backend service to send all server events to Google Cloud Storage for eventual analysis. The event records are at least 50 KB and at most
15 MB and are expected to peak at 3,000 events per second. You want to minimize data loss.
Which process should you implement?

  • A. * Compress individual files.
    * Name files with serverName-EventSequence.
    * Save files to one bucket
    * Set custom metadata headers for each object after saving.
  • B. * Append metadata to file body.
    * Compress individual files.
    * Name files with serverName-Timestamp.
    * Create a new bucket if bucket is older than 1 hour and save individual files to the new bucket.
    Otherwise, save files to existing bucket
  • C. * Batch every 10,000 events with a single manifest file for metadata.
    * Compress event files and manifest file into a single archive file.
    * Name files using serverName-EventSequence.
    * Create a new bucket if bucket is older than 1 day and save the single archive file to the new bucket.
    Otherwise, save the single archive file to existing bucket.
  • D. * Append metadata to file body.
    * Compress individual files.
    * Name files with a random prefix pattern.
    * Save files to one bucket

Answer: D

 

NEW QUESTION 26
......

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