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NEW QUESTION: 1
admin @ LODSe00019 @ onmicrosoft.com
Microsoft 365パスワード：＃HSP.ug？$ p6un
See explanation below.
Step 1: Create a CSV file that contains information about the searches you want to run The comma separated value (CSV) file that you create in this step contains a row for each user that want to search. You can search the user's Exchange Online mailbox (which includes the archive mailbox, if it's enabled) and their OneDrive for Business site. Or you can search just the mailbox or the OneDrive for Business site. You can also search any site in your SharePoint Online organization. The script that you run in Step 3 will create a separate search for each row in the CSV file.
1. Copy and paste the following text into a .txt file using NotePad. Save this file to a folder on your local computer. You'll save the other scripts to this folder as well.
ExchangeLocation,SharePointLocation,ContentMatchQuery,StartDate,EndDate [email protected],https://contoso-my.sharepoint.com/personal/sarad_contoso_onmicrosoft_com,( OR legal),1/1/2000,12/31/2005 [email protected],https://contoso-my.sharepoint.com/personal/sarad_contoso_onmicrosoft_com,( OR legal),1/1/2006,12/31/2010 [email protected],https://contoso-my.sharepoint.com/personal/sarad_contoso_onmicrosoft_com,( OR legal),1/1/2011,3/21/2016
,https://contoso-my.sharepoint.com/personal/janets_contoso_onmicrosoft_com,,1/1/2015, The first row, or header row, of the file lists the parameters that will be used by New-ComplianceSearch cmdlet to create a new Content Searches. Each parameter name is separated by a comma. Make sure there aren't any spaces in the header row. Each row under the header row represents the parameter values for each search. Be sure to replace the placeholder data in the CSV file with your actual data.
2. Open the .txt file in Excel, and then use the information in the following table to edit the file with information for each search.
3. Save the Excel file as a CSV file to a folder on your local computer. The script that you create in Step 3 will use the information in this CSV file to create the searches.
https://docs.microsoft.com/en-us/microsoft-365/compliance/create-report-on-and-delete-multiple-content-searche Keyword queries and search conditions for Content Search
NEW QUESTION: 2
Case Study: 3 - JencoMart Case Study
JencoMart is a global retailer with over 10,000 stores in 16 countries. The stores carry a range of goods, such as groceries, tires, and jewelry. One of the company's core values is excellent customer service. In addition, they recently introduced an environmental policy to reduce their carbon output by 50% over the next 5 years.
JencoMart started as a general store in 1931, and has grown into one of the world's leading brands known for great value and customer service. Over time, the company transitioned from only physical stores to a stores and online hybrid model, with 25% of sales online. Currently, JencoMart has little presence in Asia, but considers that market key for future growth.
JencoMart wants to migrate several critical applications to the cloud but has not completed a technical review to determine their suitability for the cloud and the engineering required for migration. They currently host all of these applications on infrastructure that is at its end of life and is no longer supported.
Existing Technical Environment
JencoMart hosts all of its applications in 4 data centers: 3 in North American and 1 in Europe, most applications are dual-homed.
JencoMart understands the dependencies and resource usage metrics of their on-premises architecture.
Application Customer loyalty portal
LAMP (Linux, Apache, MySQL and PHP) application served from the two JencoMart-owned U.S.
* Oracle Database stores user profiles
* PostgreSQL database stores user credentials
-homed in US West
Authenticates all users
* 30 machines in US West Coast, each machine has:
* 20 machines in US East Coast, each machine has:
* Access to shared 100 TB SAN in each location
* Tape backup every week
* Optimize for capacity during peak periods and value during off-peak periods
* Guarantee service availably and support
* Reduce on-premises footprint and associated financial and environmental impact.
* Move to outsourcing model to avoid large upfront costs associated with infrastructure purchase
* Expand services into Asia.
* Assess key application for cloud suitability.
* Modify application for the cloud.
* Move applications to a new infrastructure.
* Leverage managed services wherever feasible
* Sunset 20% of capacity in existing data centers
* Decrease latency in Asia
JencoMart will continue to develop personal relationships with our customers as more people access the web. The future of our retail business is in the global market and the connection between online and in-store experiences. As a large global company, we also have a responsibility to the environment through 'green' initiatives and polices.
The challenges of operating data centers prevents focus on key technologies critical to our long- term success. Migrating our data services to a public cloud infrastructure will allow us to focus on big data and machine learning to improve our service customers.
Since its founding JencoMart has invested heavily in our data services infrastructure. However, because of changing market trends, we need to outsource our infrastructure to ensure our long- term success. This model will allow us to respond to increasing customer demand during peak and reduce costs.
For this question, refer to the JencoMart case study.
JencoMart has built a version of their application on Google Cloud Platform that serves traffic to Asia. You want to measure success against their business and technical goals. Which metrics should you track?
A. Latency difference between US and Asia
B. Total visits and average latency for users in Asia
C. Total visits, error rates, and latency from Asia
D. Error rates for requests from Asia
E. The number of character sets present in the database
Business Requirements include: Expand services into Asia
Technical Requirements include: Decrease latency in Asia