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NEW QUESTION: 1
注：この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、指定された目標を達成する可能性のある独自のソリューションが含まれています。一部の質問セットには複数の正しい解決策がある場合がありますが、他の質問セットには正しい解決策がない場合があります。
このセクションの質問に回答した後は、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
Windows 10を実行するComputer1という名前のコンピューターがあります。
Application1という名前のサービスは、図に示すように構成されています。
ユーザーがService1アカウントを使用してComputer1にサインインし、いくつかのファイルを削除したことがわかりました。
ユーザーは、Application1で使用されているIDを使用して、コンピューター1のデスクトップにサインインするためにサインインできないことを確認する必要があります。ソリューションでは、最小限の特権の原則を使用する必要があります。
解決策：Computer1で、Service1にサービスユーザーとしてのログオンの拒否の権利を割り当てます。
これは目標を達成していますか？
A. はい
B. いいえ
Answer: B
Explanation:
References:
https://docs.microsoft.com/en-us/windows/security/threat-protection/security-policy-settings/deny-log-on-as-a-service
NEW QUESTION: 2
次のAzure Stream Analyticsクエリがあります。
次の各文について、文が真の場合は「はい」を選択します。 それ以外の場合は、[いいえ]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: Yes
You can now use a new extension of Azure Stream Analytics SQL to specify the number of partitions of a stream when reshuffling the data.
The outcome is a stream that has the same partition scheme. Please see below for an example:
WITH step1 AS (SELECT * FROM [input1] PARTITION BY DeviceID INTO 10),
step2 AS (SELECT * FROM [input2] PARTITION BY DeviceID INTO 10)
SELECT * INTO [output] FROM step1 PARTITION BY DeviceID UNION step2 PARTITION BY DeviceID Note: The new extension of Azure Stream Analytics SQL includes a keyword INTO that allows you to specify the number of partitions for a stream when performing reshuffling using a PARTITION BY statement.
Box 2: Yes
When joining two streams of data explicitly repartitioned, these streams must have the same partition key and partition count.
Box 3: Yes
Streaming Units (SUs) represents the computing resources that are allocated to execute a Stream Analytics job. The higher the number of SUs, the more CPU and memory resources are allocated for your job.
In general, the best practice is to start with 6 SUs for queries that don't use PARTITION BY.
Here there are 10 partitions, so 6x10 = 60 SUs is good.
Note: Remember, Streaming Unit (SU) count, which is the unit of scale for Azure Stream Analytics, must be adjusted so the number of physical resources available to the job can fit the partitioned flow. In general, six SUs is a good number to assign to each partition. In case there are insufficient resources assigned to the job, the system will only apply the repartition if it benefits the job.
Reference:
https://azure.microsoft.com/en-in/blog/maximize-throughput-with-repartitioning-in-azure-stream-analytics/
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-streaming-unit-consumption
NEW QUESTION: 3
You have connected a new printer at a fixed IP address.
It appears to work correctly most of the time, but at other times does not respond You suspect that the assigned address may not be unique within the network.
What command will be useful to confirm this?
A. ipadm show-addr
B. arp
C. netstat
D. dladm show-addr
E. ipadm show-if
Answer: A
Explanation:
Explanation/Reference:
Explanation:
'ipadm show-addr' displays all the configured addresses on the system.
Example:
# ipadm show-addr
ADDROBJ TYPE STATE ADDR
lo0/v4 static ok 127.0.0.1/8
lo0/v6 static ok ::1/128