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NEW QUESTION: 1
Which HP PPS Services can be offered to a customer when their previous engagement arrives at renewal?
(Select two.)
A. HP Maintenance Kit replacement
B. HP Contractual Services
C. HP Refresh Services
D. HP Defective Media Retention
E. HP Post Warranty Care Pack
Answer: B,D
NEW QUESTION: 2
In a MapReduce job with 500 map tasks, how many map task attempts will there be?
A. Exactly 500.
B. It depends on the number of reducers in the job.
C. At least 500.
D. Between 500 and 1000.
E. At most 500.
Answer: C
Explanation:
From Cloudera Training Course:
Task attempt is a particular instance of an attempt to execute a task
-
There will be at least as many task attempts as there are tasks
-
If a task attempt fails, another will be started by the JobTracker
-
Speculative execution can also result in more task attempts than completed tasks
NEW QUESTION: 3
An application developer has changed the Java XOM. The developer then tries to update the BOM but no differences appear.
What are two reasons this could happen? (Select two.)
A. Only the content of a method(s) in the Java XOM were changed.
B. A member in the Java XOM was annotated as Deprecated.
C. A member in the Java XOM was deleted.
D. An additional optional parameter was added to a method{s) in the Java XOM.
E. A @NotBusiness annotation was added to a member of the Java XOM.
Answer: A,C
NEW QUESTION: 4
GPUベースのトレーニングを使用して、Azure Machine Learningサービスで画像認識のためのディープラーニングモデルを作成します。
リアルタイムのGPUベースの推論を可能にするコンテキストにモデルをデプロイする必要があります。
モデル推論のためにコンピューティングリソースを構成する必要があります。
どの計算タイプを使用する必要がありますか?
A. フィールドプログラマブルゲートアレイ
B. Azureコンテナーインスタンス
C. 機械学習コンピューティング
D. Azure Kubernetesサービス
Answer: D
Explanation:
You can use Azure Machine Learning to deploy a GPU-enabled model as a web service. Deploying a model on Azure Kubernetes Service (AKS) is one option. The AKS cluster provides a GPU resource that is used by the model for inference.
Inference, or model scoring, is the phase where the deployed model is used to make predictions. Using GPUs instead of CPUs offers performance advantages on highly parallelizable computation.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-deploy-inferencing-gpus