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NEW QUESTION: 1
お客様は、5分ごとにロードバランサーからすべてのクライアント接続情報をキャプチャする必要があります。同社は、トラフィックパターンの分析とアプリケーションのトラブルシューティングにデータを使用したいと考えています。次のオプションのうち、顧客の要件を満たすものはどれですか？
A. Application Load BalancerのAWS CloudTrailを有効にします
B. Application Load Balancerでアクセスログを有効にします
C. アプリケーションロードバランサーにAmazon CloudWatch Logsエージェントをインストールする
D. ApplicationロードバランサーでAmazon CloudWatchメトリックスを有効にします
Answer: B
NEW QUESTION: 2
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、述べられた目標を達成する可能性のある独自の解決策が含まれています。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。
Pythonスクリプトを使用して、Azure MachineLearningの実験を実行することを計画しています。スクリプトは、実験実行コンテキストへの参照を作成し、ファイルからデータをロードし、ラベル列の一意の値のセットを識別して、実験実行を完了します。
azureml.coreからインポート実行
パンダをpdとしてインポートする
run = Run.get_context（）
データ= pd.read_csv（ 'data.csv'）
label_vals = data ['label']。unique（）
＃ここに指標を記録するコードを追加
run.complete（）
実験では、後で確認できる実行のメトリックとして、データ内の一意のラベルを記録する必要があります。
コメントで示されたポイントで実行メトリックとして一意のラベル値を記録するには、スクリプトにコードを追加する必要があります。
解決策：コメントを次のコードに置き換えます。
label_valsのlabel_valの場合：
run.log（ 'ラベル値'、label_val）
ソリューションは目標を達成していますか？
A. いいえ
B. はい
Answer: B
Explanation:
Explanation
The run_log function is used to log the contents in label_vals:
for label_val in label_vals:
run.log('Label Values', label_val)
Reference:
https://www.element61.be/en/resource/azure-machine-learning-services-complete-toolbox-ai
NEW QUESTION: 3
A. Option A
B. Option D
C. Option B
D. Option E
E. Option C
Answer: B,C
Explanation:
In Switch tow types of links are available, access and trunk. The interface is in access mode can carry the information of only one VLAN and trunk can carry the information of more than one VLAN. VTP carry the information of more than one vlan so Switch port should be in trunk mode. VLAN1 is the default VLAN on Cisco Switch, by default all interface belongs to VLAN 1.
NEW QUESTION: 4
You are a professional level SQL Sever 2008 Database Administrator.
A large financial database is hosted by the instance. The backup strategies listed below are contained by
the database:
First, the performance of a full database backup is implemented once a week.
Secondly, the performance of a differential backup is implemented every day.
Thirdly, the performance of a transaction log backup is implemented every hour.
An end-of-year batch process should be implemented, and the process takes two hours to run.
About five percent of data within the database will be changed by the batch process.
Since you are the technical support, you are required to make sure that the batch operation can be rolled
back
in the shortest time, if the batch process is not approved by the Finance department.
What should you do first before start the batch process?
A. You should create a marked transaction. And then you should perform a transaction log backup.
B. You should perform a differential backup.
C. You should record the time before the batch operation. And then you should perform a transaction log
D. You should create a database snapshot.
Answer: D
Explanation:
Explanation/Reference:
Reasons to take database snapshots include: * Maintaining historical data for report generation.
Because a database snapshot provides a static view of a database, a snapshot can extend
access to data from a particular point in time. For example, you can create a database
snapshot at the end of a given time period (such as a financial quarter} tor later reporting. You
can then run end-of-period reports on the snapshot. If disk space permits, you can also
maintain end-of-period snapshots indefinitely, allowing queries against the results from these
periods; for example, to investigate organizational performance.
-
Using a mirror database that you are maintaining for availability purposes to offload reporting.
Using database snapshots with database mirroring permits you to make the data on the mirror
server accessible for reporting. Additionally, running queries on the mirror database can free
up resources on the principal. For more information, see Database Mirroring and Database
Snapshots.
-
Safeguarding data against administrative error.
-Before doing major updates, such as a bulk update or a schema change, create a database snapshot on the database protects data. lf you make a mistake, you can use the snapshot to recover by reverting the database to the snapshot. Fleverting is potentially much faster for this purpose than restoring from a backup; however; you cannot roll forward afterward.