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NEW QUESTION: 1
C＃を使用したASP.NET Core APIアプリ。 APIアプリを使用すると、ユーザーはTwitterとAzure Active Directory（Azure AD）を使用して認証できます。
APIメソッドを呼び出す前に、ユーザーを認証する必要があります。メソッド呼び出しごとにユーザーの名前をログに記録する必要があります。
APIメソッド呼び出しを構成する必要があります。
どの値を使用する必要がありますか？回答するには、回答領域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は1ポイントの価値があります。

Answer:
Explanation:

Explanation

+ Explanation:
Box 1: Authorize
Box 2: X-MS-CLIENT-PRINCIPAL-NAME
App Service passes user claims to your application by using special headers. External requests aren't allowed to set these headers, so they are present only if set by App Service. Some example headers include:
X-MS-CLIENT-PRINCIPAL-NAME
X-MS-CLIENT-PRINCIPAL-ID
Here's the set of headers you get from Easy Auth for a Twitter authenticated user:
{
"cookie": "AppServiceAuthSession=Lx43...xHDTA==",
"x-ms-client-principal-name": "evilSnobu",
"x-ms-client-principal-id": "35....",
"x-ms-client-principal-idp": "twitter",
"x-ms-token-twitter-access-token": "35...Dj",
"x-ms-token-twitter-access-token-secret": "OK3...Jx",
}
References:
https://docs.microsoft.com/en-us/azure/app-service/app-service-authentication-how-to

NEW QUESTION: 2
Searching "index=_internal metrics | head 3" from Splunk Web returned the following events:
04-12-2018 18:39:43.514 +0200 INFO Metrics - group=thruput, name=thruput, instantaneous_kbps=0.9651774014563425, instantaneous_eps=5.645638802094809, average_kbps=1.198995639527069, total_k_processed=2676, kb=29.91796875, ev=175, load_average=3.85888671875
04-12-2018 18:39:43.514 +0200 INFO Metrics - group_thruput, name_syslog_output, instantaneous_kbps=0, instantaneous_eps_0, average_kbps=0, total_k_processed=0, kb=0, ev=0
04-12-2018 18:39:43.513 +0200 INFO Metrics - group_thruput, name_index_thruput, instantaneous_kbps=0.9651773703189551, instantaneous_eps=4.87137960922438, average_kbps=1.1985932324065556, total_k_processed=2675, kb=29.91796875, ev=151 When the same search is required from a REST API call, which fields will be given? (Select all that apply.)
A. name
B. _raw
C. sourcetype
D. instantaneous_kbps
Answer: B,C

NEW QUESTION: 3
회사의 공동 보관 시설 임대는 90 일 후에 만료됩니다. 회사는 계약 연장에 서명하지 않기 위해 AWS로 이전하려고 합니다. 회사 환경은 200 개의 가상 머신과 40TB의 데이터가있는 NAS로 구성됩니다. 대부분의 데이터는 보관되지만 데이터 요청시 즉각적인 액세스가 필요합니다. 리더십은 마이그레이션 중 가동 중지 시간을 최소화 하기를 원합니다. 각 가상 머신에는 다양한 맞춤형 구성이 있습니다. . 회사의 기존 1Gbps 네트워크 연결은 특히 업무 시간 이후에 대부분 유휴 상태입니다. 회사가 다운 타임과 운영 영향을 최소화하면서 AWS로 마이그레이션하기 위해 취해야 하는 단계는 무엇입니까? (2 개 선택)
A. AWS Snowball을 사용하여 데이터 마이그레이션
B. AWS SMS를 사용하여 NAS에서 자주 액세스하지 않는 데이터 복사
C. 새 Amazon EC2 인스턴스를 사용하고 모든 애플리케이션 코드를 다시 설치합니다.
D. AWS SMS를 사용하여 가상 머신 마이그레이션
E. AWS Storage Gateway를 사용하여 데이터를 클라우드 네이티브 스토리지로 마이그레이션
Answer: D,E

NEW QUESTION: 4
A system administrator is responding to a legal order to turn over all logs from all company servers. The system administrator records the system time of all servers to ensure that:
A. HDD hashes are accurate.
B. the NTP server works properly.
C. chain of custody is preserved.
D. time offset can be calculated.
Answer: D
Explanation:
Explanation/Reference:
Explanation:
It is quite common for workstation times to be off slightly from actual time, and that can happen with servers as well. Since a forensic investigation is usually dependent on a step-by-step account of what has happened, being able to follow events in the correct time sequence is critical. Because of this, it is imperative to record the time offset on each affected machine during the investigation. One method of assisting with this is to add an entry to a log file and note the time that this was done and the time associated with it on the system.