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NEW QUESTION: 1
Which two are true about Smart Scan?
A. Column projection does not contribute to the performance benefit of Smart Scan.
B. It is possible to offload single row functions to the Exadata Storage Servers.
C. A query rewrite may occur to a materialized view stored in Exadata but will never benefit from Smart Scan.
D. Join processing can be partly offloaded to Exadata Storage Servers.
E. Join processing can be fully offloaded to Exadata Storage Servers.
F. A query rewrite may occur to a materialized view stored in Exadata, and it will always benefit from Smart Scan.
Answer: B,D
Explanation:
D: With Exadata storage, database operations are handled much more efficiently. Queries that perform table scans can be processed within Exadata storage with only the required subset of data returned to the database server. Row filtering, column filtering and some join processing (among other functions) are performed within the Exadata storage cells. When this takes place only the relevant and required data is returned to the database server.
E: With Smart Scan processing, row filtering, column filtering, some join processing, and other functions are performed in the Exadata cells.
References:
http://www.centroid.com/blog/exadata-smart-scan-processing

NEW QUESTION: 2
プロジェクトマネージャーが完了日が近いプロジェクトを管理しています。プロジェクトマネージャーは、問題の解決速度が平均を上回っていることを発見しましたが、重大な問題が蓄積されており、プロジェクトの終了日に影響を与える可能性があります。
プロジェクトマネージャーは最初に何をすべきですか？
A. 期限に間に合わない場合は、問題を上級マネージャーにエスカレーションします
B. 重要な問題の優先順位についてチームとコミュニケーションをとる
C. プロジェクトスポンサーに追加のリソースをリクエストする
D. 問題解決の速度が平均を上回っているため、通常どおり作業を続けます
Answer: B

NEW QUESTION: 3
You are a developer for a software as a service (SaaS) company that uses an Azure Function to process orders.
The Azure Function currently runs on an Azure Function app that is triggered by an Azure Storage queue.
You are preparing to migrate the Azure Function to Kubernetes using Kubernetes-based Event Driven Autoscaling (KEDA).
You need to configure Kubernetes Custom Resource Definitions (CRD) for the Azure Function.
Which CRDs should you configure? To answer, drag the appropriate CRD types to the correct locations. Each CRD type may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Deployment
To deploy Azure Functions to Kubernetes use the func kubernetes deploy command has several attributes that directly control how our app scales, once it is deployed to Kubernetes.
Box 2: ScaledObject
With --polling-interval, we can control the interval used by KEDA to check Azure Service Bus Queue for messages.
Example of ScaledObject with polling interval
apiVersion: keda.k8s.io/v1alpha1
kind: ScaledObject
metadata:
name: transformer-fn
namespace: tt
labels:
deploymentName: transformer-fn
spec:
scaleTargetRef:
deploymentName: transformer-fn
pollingInterval: 5
minReplicaCount: 0
maxReplicaCount: 100
Box 3: Secret
Store connection strings in Kubernetes Secrets.
Example: to create the Secret in our demo Namespace:
# create the k8s demo namespace
kubectl create namespace tt
# grab connection string from Azure Service Bus
KEDA_SCALER_CONNECTION_STRING=$(az servicebus queue authorization-rule keys list \
-g $RG_NAME \
--namespace-name $SBN_NAME \
--queue-name inbound \
-n keda-scaler \
--query "primaryConnectionString" \
-o tsv)
# create the kubernetes secret
kubectl create secret generic tt-keda-auth \
--from-literal KedaScaler=$KEDA_SCALER_CONNECTION_STRING \
--namespace tt
Reference:
https://www.thinktecture.com/en/kubernetes/serverless-workloads-with-keda/

NEW QUESTION: 4
Note: This question is part of a series of questions that present the same scenario. Each question in the series
contains a unique solution that might meet the stated goals. Some question sets might have more than one
correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions
will not appear in the review screen.
You have two servers that run Windows Server 2016.
You plan to create a Network load Balancing (NLB) cluster that will contain both servers.
You need to configure the network cards on the servers for the planned NLB configuration.
Solution: You configure the network cards to be on the same subnet and to have dynamic IP addresses. You
configure the cluster to use multicast.
Does this meet the goal?
A. No
B. Yes
Answer: A
Explanation:
Explanation
References:
https://technet.microsoft.com/en-us/windows-server-docs/networking/technologies/network-load-balancing