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NEW QUESTION: 1
次の表に示すパブリックロードバランサーを含むAzureサブスクリプションがあります。
6つの仮想マシンを作成し、仮想マシンにバランサー要求をロードする予定です。各ロードバランサーは、3つの仮想マシンの負荷を分散します。
計画したソリューションの仮想マシンを作成する必要があります。
仮想マシンをどのように作成する必要がありますか？回答するには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。
Answer:
Explanation:
Explanation
Box 1: be created in the same availability set or virtual machine scale set.
The Basic tier is quite restrictive. A load balancer is restricted to a single availability set, virtual machine scale set, or a single machine.
Box 2: be connected to the same virtual network
The Standard tier can span any virtual machine in a single virtual network, including blends of scale sets, availability sets, and machines.
References:
https://www.petri.com/comparing-basic-standard-azure-load-balancers
NEW QUESTION: 2
配信可能性を向上させる2つの方法は何ですか？
A. 差出人の名前とアドレスを認識可能にする
B. 信頼できるソースからメーリングリストを購入する
C. メールの下部にあるリストへの登録方法を追加します
D. 会社名を件名に追加します
Answer: A,D
NEW QUESTION: 3
Your application performs well when tested locally, but it runs significantly slower when you deploy it to App Engine standard environment. You want to diagnose the problem. What should you do?
A. Use Stackdriver Debugger Snapshots to look at a point-in-time execution of the application.
B. Use Stackdriver Trace to determine which functions within the application have higher latency.
C. Add logging commands to the application and use Stackdriver Logging to check where the latency problem occurs.
D. File a ticket with Cloud Support indicating that the application performs faster locally.
Answer: C
Explanation:
Topic 1, HipLocal Case Study
Company Overview
HipLocal is a community application designed to facilitate communication between people in close proximity. It is used for event planning and organizing sporting events, and for businesses to connect with their local communities. HipLocal launched recently in a few neighborhoods in Dallas and is rapidly growing into a global phenomenon. Its unique style of hyper-local community communication and business outreach is in demand around the world.
Executive statement
We are the number one local community app; it's time to take our local community services global. Our venture capital investors want to see rapid growth and the same great experience for new local and virtual communities that come online, whether their members are 10 or 10,000 miles away from each other.
Solution concept
HipLocal wants to expand their existing service, with updated functionality, in new regions to better serve their global customers. They want to hire and train a new team to support these regions in their time zones. They will need to ensure that the application scales smoothly and provides clear uptime data.
Existing technical environment
HipLocal's environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform. The HipLocal team understands their application well but has limited experience in global scale applications. Their existing technical environment is as follows:
* Existing APIs run on Compute Engine virtual machine instances hosted in GCP
* State is stored in a single instance MySQL database in GCP
* Data is exported to an on-premises Teradata/Vertica data warehouse
* Data analytics is performed in an on-premises Hadoop environment
* The application has no logging
* There are basic indicators of uptime; alerts are frequently fired when the APIs are unresponsive Business Requirements HipLocal's investors want to expand their footprint and support the increase in demand they are seeing. Their requirements are:
* Expand availability of the application to new regions
* Increase the number of concurrent users that can be supported
* Ensure a consistent experience for users when they travel to different regions
* Obtain user activity metrics to better understand how to monetize their product
* Ensure compliance with regulations in the new regions (for example, GDPR)
* Reduce infrastructure management time and cost
* Adopt the Google-recommended practices for cloud computing
Technical Requirements
* The application and backend must provide usage metrics and monitoring
* APIs require strong authentication and authorization
* Logging must be increased, and data should be stored in a cloud analytics platform
* Move to serverless architecture to facilitate elastic scaling
* Provide authorized access to internal apps in a secure manner