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NEW QUESTION: 1
An administrator is experiencing network connectivity issues between virtual machines. The virtual machines and hosts are configured as follows:
VM1 is running on Host1

VM2 is running on Host2

Both Host1 and Host2 are attached to the vSphere Distributed Switch dvSwitch1

Both Host1 and Host2 are using vmnic0 and vmnic1 on dvSwitch1

Both virtual machines are using the default portgroup for network traffic

What are three settings the administrator should investigate while troubleshooting the connectivity issue?
(Choose three.)
A. Security policy of the portgroup
B. VLANs of the physical NICs
C. Traffic shaping on the portgroup
D. Virtual NIC connectivity to the dvSwitch
E. Failover order of the uplinks
Answer: B,D,E
Explanation:
Explanation/Reference:
Explanation:
To find out connectivity problems, you can use VLANs of the physical NICs, virtual MIC connectivity to the dvswitch and failover orders of the uplinks.

NEW QUESTION: 2
あなたの会社のすべての従業員はGoogleアカウントを持っています。運用チームは、ComputeEngineで多数のインスタンスを管理する必要があります。このチームの各メンバーは、サーバーへの管理アクセスのみを必要とします。セキュリティチームは、資格情報の展開が運用効率が高く、特定のインスタンスにアクセスしたユーザーを特定できる必要があることを確認したいと考えています。あなたは何をするべきか？
A. 新しいSSHキーペアを生成します。チームの各メンバーに秘密鍵を渡します。
Cloud Platformプロジェクトで公開鍵をプロジェクト全体の公開SSH鍵として構成し、各インスタンスでプロジェクト全体の公開SSH鍵を許可します。
B. 新しいSSHキーペアを生成します。チームの各メンバーに秘密鍵を渡します。
各インスタンスのメタデータで公開鍵を構成します。
C. チームの各メンバーに、新しいSSHキーペアを生成し、公開キーをGoogleアカウントに追加するように依頼します。
このチームに対応するGoogleグループに「compute.osAdminLogin」ロールを付与します。
D. チームの各メンバーに、新しいSSHキーペアを生成し、公開キーを送信するように依頼します。
構成管理ツールを使用して、これらのキーを各インスタンスにデプロイします。
Answer: C
Explanation:
https://cloud.google.com/compute/docs/instances/adding-removing-ssh-keys

NEW QUESTION: 3
You are building a new application that you need to collect data from in a scalable way. Data arrives continuously from the application throughout the day, and you expect to generate approximately 150 GB of JSON data per day by the end of the year. Your requirements are:
* Decoupling producer from consumer
* Space and cost-efficient storage of the raw ingested data, which is to be stored indefinitely
* Near real-time SQL query
* Maintain at least 2 years of historical data, which will be queried with SQL Which pipeline should you use to meet these requirements?
A. Create an application that writes to a Cloud SQL database to store the data. Set up periodic exports of the database to write to Cloud Storage and load into BigQuery.
B. Create an application that provides an API. Write a tool to poll the API and write data to Cloud Storage as gzipped JSON files.
C. Create an application that publishes events to Cloud Pub/Sub, and create a Cloud Dataflow pipeline that transforms the JSON event payloads to Avro, writing the data to Cloud Storage and BigQuery.
D. Create an application that publishes events to Cloud Pub/Sub, and create Spark jobs on Cloud Dataproc to convert the JSON data to Avro format, stored on HDFS on Persistent Disk.
Answer: C