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Update your iPhone software to 6.0 or later 4.

NEW QUESTION: 1
Your engineers need to pass database credentials to a Kubernetes Pod. The YAML they're using looks similar to the following:
apiVersion: "extensions/v1beta1"
kind: "Deployment"
metadata:
name: "products-service"
namespace: "default"
labels:
app: "products-service"
spec:
replicas: 3
selector:
matchLabels:
app: "products-service"
template:
metadata:
labels:
app: "products-service"
spec:
containers:
- name: "products"
image: "gcr.io/find-seller-app-dev/products:latest"
env:
- name: "database_user"
value: "admin"
- name: "database_password"
value: "TheB3stP@ssW0rd"
What is Google's recommended best practice for working with sensitive information inside of Kubernetes?
A. Mount the credentials in a volume.
B. Use an environment variable.
C. Store the credentials in a Secret.
D. Store the credentials in a ConfigMap.
Answer: C

NEW QUESTION: 2
You are implementing the indexing strategy for a fact table in a data warehouse. The fact table is named Quotes. The table has no indexes and consists of seven columns:
*[ID]
*[QuoteDate]
*[Open]
*[Close]
*[High]
*[Low]
*[Volume]
Each of the following queries must be able to use a columnstore index:
*SELECT AVG ([Close]) AS [AverageClose] FROM Quotes WHERE [QuoteDate]
BETWEEN '20100101' AND '20101231'.
*SELECT AVG([High] - [Low]) AS [AverageRange] FROM Quotes WHERE [QuoteDate] BETWEEN '20100101' AND '20101231'.
*SELECT SUM([Volume]) AS [SumVolume] FROM Quotes WHERE [QuoteDate]
BETWEEN '20100101' AND '20101231'.
You need to ensure that the indexing strategy meets the requirements. The strategy must also minimize the number and size of the indexes.
What should you do?
A. Create one columnstore index that contains [ID], [Close], [High], [Low], [Volume], and
[QuoteDate].
B. Create three coiumnstore indexes:
One containing [QuoteDate] and [Close]
One containing [QuoteDate], [High], and [Low]
One containing [QuoteDate] and [Volume]
C. Create two columnstore indexes:
One containing [ID], [QuoteDate], [Volume], and [Close]
One containing [ID], [QuoteDate], [High], and [Low]
D. Create one columnstore index that contains [QuoteDate], [Close], [High], [Low], and
[Volume].
Answer: D
Explanation:
Reference: http://msdn.microsoft.com/en-us/library/gg492088.aspx
Reference: http://msdn.microsoft.com/en-us/library/gg492153.aspx

NEW QUESTION: 3
How does a service consumer contribute to the reduction of disk?
A. By paying for the service
B. By managing server hardware
C. By managing staff availability
D. By communicating constraints
Answer: D