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NEW QUESTION: 1
The Cisco Unified CM 9.0 publisher server in a five-node cluster failed to boot after a power outage. Which four configuration modifications can still be made on the remaining nodes? (Choose four.)
A. Device Mobility
B. Call Forward All
C. Add a new DN
D. Extension Mobility Login
E. PIN Reset
F. Busy Trigger
G. Device Security Profile
H. Message Waiting Indication
Answer: A,B,D,H
NEW QUESTION: 2
技術者は、ワークグループに参加しているコンピューターからネットワーク共有にアクセスしました。技術者は「user1」としてログインし、ユーザー名とパスワードを保存するようにコンピューターに指示しました。数週間後、技術者は管理者アカウントを使用してこのネットワーク共有にログインしたいと考えています。コンピューターはユーザー名とパスワードの入力を求めませんが、「user1」アカウントでネットワーク共有に自動的にログインします。次のうち、技術者が「管理者」ユーザー名を使用してログインできるようにするのはどれですか？
A. 同期センターに移動し、オフラインファイル機能を無効にします。
B. ネットワークおよび共有センターの高度な共有オプションを使用して、「ネットワーク検出をオンにする」を有効にします。
C. Use the command: net use Z: \\fileserver\share
D. コンピューターとファイルサーバーをドメインに参加させ、管理者権限を「user1」に委任します。
E. 資格情報マネージャーでネットワーク共有の「ユーザー」アカウントを削除します。
Answer: E
Explanation:
https://docs.microsoft.com/en-us/previous-versions/windows/it-pro/windows-server-2012-r2-and-2012/gg651155(v%3Dws.11)
NEW QUESTION: 3
Flowlogistic is rolling out their real-time inventory tracking system. The tracking devices will all send package-tracking messages, which will now go to a single Google Cloud Pub/Sub topic instead of the Apache Kafka cluster. A subscriber application will then process the messages for real-time reporting and store them in Google BigQuery for historical analysis. You want to ensure the package data can be analyzed over time.
Which approach should you take?
A. Attach the timestamp and Package ID on the outbound message from each publisher device as they are sent to Clod Pub/Sub.
B. Use the NOW () function in BigQuery to record the event's time.
C. Use the automatically generated timestamp from Cloud Pub/Sub to order the data.
D. Attach the timestamp on each message in the Cloud Pub/Sub subscriber application as they are received.
Answer: A
Explanation:
Topic 2, 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.
NEW QUESTION: 4
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You are examining information about users, sessions, and processed in an on-premises Microsoft SQL Server Database Engine instance.
You need to return information about processes that are not idle, that belong to a specific user, or that belong to a specific session.
What should you use?
A. SQL Server Data Collector
B. Activity Monitor
C. SQL Server Management Studio (SSMS) Object Explorer
D. sp_who3
E. SQL Server Data Tools (SSDT)
F. SQL Server Configuration Manager
Answer: D
Explanation:
Use sp_who3 to first view the current system load and to identify a session of interest. You should execute the query several times to identify which session id is most consuming teh system resources.
Parameters
sp_who3 null - who is active;
sp_who3 1 or 'memory' - who is consuming the memory;
sp_who3 2 or 'cpu' - who has cached plans that consumed the most cumulative CPU (top 10); sp_who3 3 or 'count' - who is connected and how many sessions it has; sp_who3 4 or 'idle' - who is idle that has open transactions; sp_who3 5 or 'tempdb' - who is running tasks that use tempdb (top 5); and, sp_who3 6 or 'block' - who is blocking.
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