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Simulation for the software version.

NEW QUESTION: 1

A. Option D
B. Option B
C. Option C
D. Option A
Answer: B,D
Explanation:
While a VMFS-3, which is upgraded to VMFS-5, provides you with most of the capabilities as a newly created VMFS-5, there are some differences. Both upgraded and newly created VMFS-5 support single-extent volumes up to 64TB and both support VMDK sizes of ~2TB, no matter what the VMFS file-block size is. However additional differences, although minor, should be considered when making a decision whether to upgrade to VMFS-5 or create new VMFS-5 volumes.
Reference: http://www.vmware.com/files/pdf/techpaper/VMFS-5_Upgrade_Considerations.pdf

NEW QUESTION: 2
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. 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。
B. 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。
C. 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。
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）Linux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

NEW QUESTION: 3
What does RF determine?
A. quantity of energy injected in a signal
B. signal size
C. cycle pattern size
D. how often a wave occurs
Answer: D

NEW QUESTION: 4
You are redesigning a SQL Server Analysis Services (SSAS) database that contains a
cube named Sales. Before the initial deployment of the cube, partition design was optimized for processing time. The cube currently includes five partitions named FactSalesl through FactSales5. Each partition contains from 1 million to 2 million rows.
The FactSales5 partition contains the current year's information. The other partitions contain information from prior years; one year per partition. Currently, no aggregations are defined on the partitions.
You remove fact rows that are more than five years old from the fact table in the data source and configure query logs on the SSAS server.
Several queries and reports are running very slowly.
You need to optimize the partition structure and design aggregations to improve query performance and minimize administrative overhead.
What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)
A. Combine all the partitions into a single partition. Use the Aggregation Design Wizard to create aggregations.
B. Combine all the partitions into a single partition. Use the Usage-Based Optimization Wizard to create aggregations.
C. Use the Usage-Based Optimization Wizard to create aggregations for the current partitions.
D. Use the Aggregation Design Wizard to create aggregations for the current partitions.
Answer: C