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NEW QUESTION: 1
PyTorch深層学習フレームワークを使用するマルチクラス画像分類深層学習モデルを作成します。
分類モデルのハイパーパラメーターを最適化するには、Azure Machine Learningハイパードライブを構成する必要があります。
精度が最も高いモデルとなるハイパーパラメーター値を決定するには、プライマリメトリックを定義する必要があります。
どの3つのアクションを実行する必要がありますか？それぞれの正解がソリューションの一部を示しています。
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。
A. bird_classifier_train.pyスクリプトの実行に使用される推定器のprimary_metric_nameをlossに設定します。
B. bird_classifier_train.pyスクリプトにコードを追加して、モデルの検証精度を計算し、それをキー精度の浮動小数点値として記録します。
C. bird_classifier_train.pyスクリプトにコードを追加して、モデルの検証損失を計算し、キー損失のある浮動小数点値としてログに記録します。
D. bird_classifier_train.pyスクリプトを実行するために使用される推定器のprimary_metric_nameを正確に設定します。
E. bird_classifier_train.pyスクリプトを実行して最大化するために使用される推定器のprimary_metric_goalを設定します。
F. 最小化するためにbird_classifier_train.pyスクリプトを実行するために使用される推定器のprimary_metric_goalを設定します。
Answer: B,D,E
Explanation:
AD:
primary_metric_name="accuracy",
primary_metric_goal=PrimaryMetricGoal.MAXIMIZE
Optimize the runs to maximize "accuracy". Make sure to log this value in your training script.
Note:
primary_metric_name: The name of the primary metric to optimize. The name of the primary metric needs to exactly match the name of the metric logged by the training script.
primary_metric_goal: It can be either PrimaryMetricGoal.MAXIMIZE or PrimaryMetricGoal.MINIMIZE and determines whether the primary metric will be maximized or minimized when evaluating the runs.
F: The training script calculates the val_accuracy and logs it as "accuracy", which is used as the primary metric.

NEW QUESTION: 2
Ihr Unternehmen hat eine Hauptniederlassung und eine Zweigniederlassung.
Das Netzwerk enthält eine Active Directory-Domäne mit dem Namen contoso.com. Die Domäne enthält drei Domänencontroller. Die Domänencontroller werden wie in der folgenden Tabelle gezeigt konfiguriert.

Die Domain enthält zwei globale Gruppen. Die Gruppen werden wie in der folgenden Tabelle gezeigt konfiguriert.

Sie müssen sicherstellen, dass der RODC so konfiguriert ist, dass er die folgenden Anforderungen erfüllt:
Zwischenspeichern Sie Kennwörter für alle Mitglieder von Branch1Users.
Verhindern Sie das Zwischenspeichern von Kennwörtern für die Mitglieder von Helpdesk.
Was tun?
A. Erstellen Sie ein Kennworteinstellungsobjekt (Password Settings Object, PSO) für die Helpdesk-Gruppe.
B. Installieren Sie die BranchCache-Funktion auf RODC1.
C. Ändern Sie die Mitgliedschaft in der Gruppe "Verweigerte RODC-Kennwortreplikation".
D. Ändern Sie die Delegierungseinstellungen von RODC1.
Answer: C
Explanation:
Listen "Kennwortreplikationsrichtlinie zulässig" und "Verweigert"
In Windows Server 2008 Active Directory-Domänen werden zwei neue integrierte Gruppen eingeführt, um RODC-Vorgänge zu unterstützen. Dies sind die zulässige RODC-Kennwortreplikationsgruppe und die abgelehnte RODC-Kennwortreplikationsgruppe.
Diese Gruppen helfen beim Implementieren einer Standardliste für Zulässige und Verweigerte für die RODC-Kennwortreplikationsrichtlinie. Standardmäßig werden die beiden Gruppen den Active Directory-Attributen msDS-RevealOnDemandGroup und msDS-NeverRevealGroup hinzugefügt.
Referenz: Kennwortreplikationsrichtlinie
https://technet.microsoft.com/en-us/library/cc730883(v=ws.10).aspx

NEW QUESTION: 3
You are responsible for your company's large multi-tiered Windows-based web application running on
Amazon EC2 instances situated behind a load balancer. While reviewing metrics, you've started noticing an
upwards trend for slow customer page load time. Your manager has asked you to come up with a solution to
ensure that customer load time is not affected by too many requests per second. Which technique would you
use to solve this issue?
A. Re-deploy your infrastructure using AWS CloudFormation, Elastic Beanstalk, and Auto Scaling. Set up
your Auto Scalinggroup policies to scale based on the number of requests per second as well as the
current customer load time. *>/
D- Re-deploy your application using an Auto Scaling template. Configure the Auto Scaling template to
spin up a new Elastic Beanstalk application when the customer load time surpasses your threshold.
B. Re-deploy your infrastructure usingan AWS CloudFormation template. Configure Elastic Load
Balancing health checks to initiate a new AWS CloudFormation stack when health checks return failed.
C. Re-deploy your infrastructure using an AWS CloudFormation template. Spin up a second AWS
CloudFormation stack. Configure Elastic Load Balancing SpillOver functionality to spill over any slow
connections to the second AWS CloudFormation stack.
Answer: A
Explanation:
Explanation
Auto Scaling helps you ensure that you have the correct number of Amazon CC2 instances available to handle
the load for your application. You create collections of
CC2 instances, called Auto Scaling groups. You can specify the minimum number of instances in each Auto
Scaling group, and Auto Scaling ensures that your group
never goes below this size. You can specify the maximum number of instances in each Auto Scaling group,
and Auto Scaling ensures that yourgroup never goes
above this size. If you specify the desired capacity, either when you create the group or at any time thereafter.
Auto Scaling ensures that yourgroup has this many
instances. If you specify scaling policies, then Auto Scaling can launch or terminate instances as demand on
your application increases or decreases.
Option A and B are invalid because Autoscaling is required to solve the issue to ensure the application can
handle high traffic loads.
Option D is invalid because there is no Autoscaling template.
For more information on Autoscaling, please refer to the below document link: from AWS
* http://docs.aws.amazon.com/autoscaling/latest/userguide/Whatl sAutoScaling.html

NEW QUESTION: 4
Which of the following provides a company with the BEST equipment to minimize downtime in the event of catastrophic damage to their main datacenter?
A. Offsite storage
B. Hot site
C. Cold site
D. Warm site
Answer: B