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NEW QUESTION: 1
Amazon CloudWatch Logs agent is successfully delivering logs to the CloudWatch Logs service. However, logs stop being delivered after the associated log stream has been active for a specific number of hours.
What steps are necessary to identify the cause of this phenomenon? (Choose two.)
A. Configure an Amazon Kinesis producer to first put the logs into Amazon Kinesis Streams.
B. Create a CloudWatch Logs metric to isolate a value that changes at least once during the period before logging stops.
C. Use AWS CloudFormation to dynamically create and maintain the configuration file for the CloudWatch Logs agent.
D. Ensure that file permissions for monitored files that allow the CloudWatch Logs agent to read the file have not been modified.
E. Verify that the OS Log rotation rules are compatible with the configuration requirements for agent streaming.
Answer: D,E
Explanation:
Explanation
https://acloud.guru/forums/aws-certified-security-specialty/discussion/-Lm5A3w6_NybQPhh6tRP/Cloudwatch%

NEW QUESTION: 2
Case Study: 6 - TerramEarth
Company Overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries. About
80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in 100 countries. Their mission is to build products that make their customers more productive.
Solution Concept
There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second.
Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced.
The data is downloaded via a maintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules.
Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. At a rate of 120 fields of data per second with 22 hours of operation per day, TerramEarth collects a total of about 9 TB/day from these connected vehicles.
Existing Technical Environment
TerramEarth's existing architecture is composed of Linux and Windows-based systems that reside in a single U.S. west coast based data center. These systems gzip CSV files from the field and upload via FTP, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4 weeks while they wait for replacement parts.
Business Requirements
Decrease unplanned vehicle downtime to less than 1 week.
* Support the dealer network with more data on how their customers use their equipment to better
* position new products and services
Have the ability to partner with different companies - especially with seed and fertilizer suppliers
* in the fast-growing agricultural business - to create compelling joint offerings for their customers.
Technical Requirements
Expand beyond a single datacenter to decrease latency to the American Midwest and east
* coast.
Create a backup strategy.
* Increase security of data transfer from equipment to the datacenter.
* Improve data in the data warehouse.
* Use customer and equipment data to anticipate customer needs.
* Application 1: Data ingest
A custom Python application reads uploaded datafiles from a single server, writes to the data warehouse.
Compute:
Windows Server 2008 R2
* - 16 CPUs
- 128 GB of RAM
- 10 TB local HDD storage
Application 2: Reporting
An off the shelf application that business analysts use to run a daily report to see what equipment needs repair. Only 2 analysts of a team of 10 (5 west coast, 5 east coast) can connect to the reporting application at a time.
Compute:
Off the shelf application. License tied to number of physical CPUs
* - Windows Server 2008 R2
- 16 CPUs
- 32 GB of RAM
- 500 GB HDD
Data warehouse:
A single PostgreSQL server
* - RedHat Linux
- 64 CPUs
- 128 GB of RAM
- 4x 6TB HDD in RAID 0
Executive Statement
Our competitive advantage has always been in the manufacturing process, with our ability to build better vehicles for lower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. My goals are to build our skills while addressing immediate market needs through incremental innovations.
For this question, refer to the TerramEarth case study. You are asked to design a new architecture for the ingestion of the data of the 200,000 vehicles that are connected to a cellular network. You want to follow Google-recommended practices.
Considering the technical requirements, which components should you use for the ingestion of the data?
A. Google Kubernetes Engine with an SSL Ingress
B. Cloud IoT Core with public/private key pairs
C. Compute Engine with specific SSH keys
D. Compute Engine with project-wide SSH keys
Answer: A

NEW QUESTION: 3
Broadly speaking, after an importing a dataset in Tableau Desktop, all fields in it are broken down into
_______________________
A. Labels and Values
B. Rows and Columns
C. Numbers and Headers
D. Dimensions and Measures
Answer: D
Explanation:
Explanation
When you connect to a new data source, Tableau assigns each field in the data source as dimension or measure in the Data pane, depending on the type of data the field contains. You use these fields to build views of your data.
Further,

NEW QUESTION: 4
Your project is performing some high-level planning for a System Conversion journey from SAP Business Suite to SAP S/4HANA on-premise edition. What is the correct sequence of selected key deliverables across the project phases?
Please choose the correct answer.
Response:
A. a) Detailed system Assessment
b) Production Readiness Check
c) Code Adjustment
d) Validation of Migration
B. a) Detailed system Assessment
b) Code Adjustment
c) Validation of Migration
d) Production Readiness Check
C. a) Code adjustment
b) Detailed System Assessment
c) Production Readiness Check
d) Validation of Migration
D. a) Production Readiness Check
b) Detailed system Assessment
c) Code Adjustment
d) Validation of Migration
Answer: B