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NEW QUESTION: 1
다음 중 Bimodal 분포를 가장 잘 표현한 것은?
A. 이 배포판은 단일 모드 및 종 모양의 분포를 보여줍니다.
B. 이 배포는 잘립니다.
C. 이 분포에는 여러 분포 피크가 있습니다.
D. 이 분포는 층화 된 데이터와 두 개의 분명한 피크를 보여줍니다.
Answer: D
NEW QUESTION: 2
Reporting investments, set requirements regarding matters such as location of asset and set limitations on investing in future are all prescribed by a method called:
A. Market security lending
B. State regulations
C. Insurance investment
D. Intent of investment
Answer: B
NEW QUESTION: 3
株価を予測するための機械学習モデルを実装しています。
モデルはPostgreSQLデータベースを使用し、GPU処理を必要とします。
必要なツールで事前構成された仮想マシンを作成する必要があります。
あなたは何をするべきか？
A. Geo Alデータサイエンス仮想マシン（Geo-DSVM）Windowsエディションを作成します。
B. ディープラーニング仮想マシン（DLVM）Linuxエディションを作成します。
C. データサイエンス仮想マシン（DSVM）Windowsエディションを作成します。
D. データサイエンス仮想マシン（DSVM）Linuxエディションを作成します。
E. ディープラーニング仮想マシン（DLVM）Windowsエディションを作成します。
Answer: D
Explanation:
Incorrect Answers:
A, C: PostgreSQL (CentOS) is only available in the Linux Edition.
B: The Azure Geo AI Data Science VM (Geo-DSVM) delivers geospatial analytics capabilities from Microsoft's Data Science VM. Specifically, this VM extends the AI and data science toolkits in the Data Science VM by adding ESRI's market-leading ArcGIS Pro Geographic Information System.
D: DLVM is a template on top of DSVM image. In terms of the packages, GPU drivers etc are all there in the DSVM image. Mostly it is for convenience during creation where we only allow DLVM to be created on GPU VM instances on Azure.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/data-science-virtual-machine/overview