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NEW QUESTION: 1
Azure Application Gatewayのパフォーマンスの問題をトラブルシューティングしています。
過去6時間の合計リクエスト数と失敗したリクエスト数を比較する必要があります。
何を使うべきですか？
A. Azure Network WatcherのNSGフローログ
B. Application Gatewayの診断ログ
C. Application Gatewayのメトリック
D. Azure Network Watcherの接続モニター
Answer: C
Explanation:
Explanation
Application Gateway currently has seven metrics to view performance counters.
Metrics are a feature for certain Azure resources where you can view performance counters in the portal. For Application Gateway, the following metrics are available:
* Total Requests
* Failed Requests
* Current Connections
* Healthy Host Count
* Response Status
* Throughput
* Unhealthy Host count
You can filter on a per backend pool basis to show healthy/unhealthy hosts in a specific backend pool References: https://docs.microsoft.com/en-us/azure/application-gateway/application-gatewaydiagnostics# Metrics

NEW QUESTION: 2
Which of the following block methods is the best to override when there is a need to customize how the block's html is rendered?
A. renderLayout ()
B. _toHtml()
C. setLayout ()
D. toHtmlO
Answer: B

NEW QUESTION: 3
Mountkirk Games wants to set up a real-time analytics platform for their new game. The new platform must
meet their technical requirements.
Which combination of Google technologies will meet all of their requirements?
A. Cloud Dataflow, Cloud Storage, Cloud Pub/Sub, and BigQuery
B. Cloud Dataproc, Cloud Pub/Sub, Cloud SQL, and Cloud Dataflow
C. Cloud Pub/Sub, Compute Engine, Cloud Storage, and Cloud Dataproc
D. Cloud SQL, Cloud Storage, Cloud Pub/Sub, and Cloud Dataflow
E. Kubernetes Engine, Cloud Pub/Sub, and Cloud SQL
Answer: A
Explanation:
Explanation/Reference:
Explanation:
Ingest millions of streaming events per second from anywhere in the world with Cloud Pub/Sub, powered
by Google's unique, high-speed private network. Process the streams with Cloud Dataflow to ensure
reliable, exactly-once, low-latency data transformation. Stream the transformed data into BigQuery, the
cloud-native data warehousing service, for immediate analysis via SQL or popular visualization tools.
From scenario: They plan to deploy the game's backend on Google Compute Engine so they can capture
streaming metrics, run intensive analytics.
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
References: https://cloud.google.com/solutions/big-data/stream-analytics/
Testlet 1
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.