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NEW QUESTION: 1
Which two programming constructs can be grouped within a package? (Choose two)
A. Cursor
B. Constant
C. Trigger
D. View
E. Sequence
Answer: A,B
Explanation:
The constructs that can be grouped within a package include:
Procedures and Functions
Cursors, Variables and Constants
Composite data types, such as TABLE or RECORD
Exceptions Comments PRAGMAs
Incorrect Answers:
C: Triggers are objects that we create are created on the tables.
D: Sequences can't be grouped inside the packages, but we can reference then inside the package.
E: Views are created and they are database objects, and they can't be grouped inside the packages.

NEW QUESTION: 2
HOTSPOT




Answer:
Explanation:

==============================================
Topic 3, Mortgage Loan
Background
A company is developing a website that supports mortgage loan processing. You use the
Azure management portal to create a website. You initially configure the website to use the
Basic hosting plan. You register a custom domain for the website with a valid registrar.
Customers complete mortgage applications and upload supporting documents to the website. A custom executable named FileProcessor.exe processes all of the information received. An on-premises server that runs Windows Server hosts the executable.
You create a virtual hard disk (VHD) image of the on-premises server. You plan to use this
VHD to replace the on-premises server with a new virtual machine (VM) that is hosted in
Azure.
Business Requirements
Business stakeholders have identified the following requirements for the mortgage loan processing website:
Technical Requirements
General:
Security:
You must secure the custom domain and all subdomains by using SSL.
Storage:
Monitoring:
The website must use port 6000 with UDP to submit information to another process. This port must be actively monitored by using the same external port number.
Deployment:
Solution Structure
The solution structure for the website is shown in the following exhibit.

NEW QUESTION: 3
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 an Azure Storage account that contains two 1-GB data files named File1 and File2. The data files
are set to use the archive access tier.
You need to ensure that File1 is accessible immediately when a retrieval request is initiated.
Solution: For File1, you set Access tier to
Does this meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Explanation
Instead use the hot access tier.
The hot access tier has higher storage costs than cool and archive tiers, but the lowest access costs. Example
usage scenarios for the hot access tier include:
* Data that's in active use or expected to be accessed (read from and written to) frequently.
* Data that's staged for processing and eventual migration to the cool access tier.
References:
https://docs.microsoft.com/en-us/azure/storage/blobs/storage-blob-storage-tiers

NEW QUESTION: 4
MJTelco Case Study
Company Overview
MJTelco is a startup that plans to build networks in rapidly growing, underserved markets around the world.
The company has patents for innovative optical communications hardware. Based on these patents, they can create many reliable, high-speed backbone links with inexpensive hardware.
Company Background
Founded by experienced telecom executives, MJTelco uses technologies originally developed to overcome communications challenges in space. Fundamental to their operation, they need to create a distributed data infrastructure that drives real-time analysis and incorporates machine learning to continuously optimize their topologies. Because their hardware is inexpensive, they plan to overdeploy the network allowing them to account for the impact of dynamic regional politics on location availability and cost.
Their management and operations teams are situated all around the globe creating many-to-many relationship between data consumers and provides in their system. After careful consideration, they decided public cloud is the perfect environment to support their needs.
Solution Concept
MJTelco is running a successful proof-of-concept (PoC) project in its labs. They have two primary needs:
* Scale and harden their PoC to support significantly more data flows generated when they ramp to more than 50,000 installations.
* Refine their machine-learning cycles to verify and improve the dynamic models they use to control topology definition.
MJTelco will also use three separate operating environments - development/test, staging, and production - to meet the needs of running experiments, deploying new features, and serving production customers.
Business Requirements
* Scale up their production environment with minimal cost, instantiating resources when and where needed in an unpredictable, distributed telecom user community.
* Ensure security of their proprietary data to protect their leading-edge machine learning and analysis.
* Provide reliable and timely access to data for analysis from distributed research workers
* Maintain isolated environments that support rapid iteration of their machine-learning models without affecting their customers.
Technical Requirements
Ensure secure and efficient transport and storage of telemetry data
Rapidly scale instances to support between 10,000 and 100,000 data providers with multiple flows each.
Allow analysis and presentation against data tables tracking up to 2 years of data storing approximately 100m records/day Support rapid iteration of monitoring infrastructure focused on awareness of data pipeline problems both in telemetry flows and in production learning cycles.
CEO Statement
Our business model relies on our patents, analytics and dynamic machine learning. Our inexpensive hardware is organized to be highly reliable, which gives us cost advantages. We need to quickly stabilize our large distributed data pipelines to meet our reliability and capacity commitments.
CTO Statement
Our public cloud services must operate as advertised. We need resources that scale and keep our data secure.
We also need environments in which our data scientists can carefully study and quickly adapt our models.
Because we rely on automation to process our data, we also need our development and test environments to work as we iterate.
CFO Statement
The project is too large for us to maintain the hardware and software required for the data and analysis. Also, we cannot afford to staff an operations team to monitor so many data feeds, so we will rely on automation and infrastructure. Google Cloud's machine learning will allow our quantitative researchers to work on our high-value problems instead of problems with our data pipelines.
MJTelco's Google Cloud Dataflow pipeline is now ready to start receiving data from the 50,000 installations.
You want to allow Cloud Dataflow to scale its compute power up as required. Which Cloud Dataflow pipeline configuration setting should you update?
A. The number of workers
B. The maximum number of workers
C. The zone
D. The disk size per worker
Answer: C

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