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MS-720 Zertifizierung, MS-720 Prüfungsfragen

it-pruefungen.de bietet die neuesten deutschen Prüfungsfragen und Antworten mit Lösungen zur Vorbereitung auf die Microsoft Prüfung MS-720 deutsch（Microsoft Teams Voice Engineer). Falls Sie die Zertifizierungsprüfung doch nicht bestehen, können Sie die Geld-zurück-Garantie nutzen. Die Prüfungssoftware von der Microsoft Microsoft 365 Prüfung MS-720, mit der Sie die Prüfung selbst simulieren, wird von unseren IT-Experten aus dem Prüfungszentrum wie PROMETRIC oder VUE verfasst, deswegen können wir Ihnen 100% Erfolgsgarantie geben.



it-pruefungen.de Microsoft Microsoft 365 MS-720 Prüfungsfragen Prüfungsunterlagen
Info zu dieser Prüfungsvorbereitung MS-720 it-pruefungen .de
Prüfungsnummer:MS-720
Prüfungsname:Microsoft Teams Voice Engineer
Anzahl:118 Prüfungsfragen mit Lösungen

Unsere Prüfungsunterlagen zu der Microsoft IT-Prüfung MS-720 Zertifizierung enthalten alle originalen Testfragen. Die Abdeckungsrate unserer Fragenkataloge (Fragen und Antworten mit Lösungen) zur MS-720 Prüfung ist normalerweise mehr als 99%.

5 Gründe für die Microsoft Prüfung MS-720
1. Bessere Verdienstmöglichkeiten. Untersuchungen haben gezeigt, dass zertifizierte Fachleute häufig mehr verdienen als ihre Kollegen ohne Zertifizierung MS-720.
2. Wettbewerbsvorteil gegenüber anderen in der Branche. Durch den Nachweis Ihrer Fähigkeiten und Kenntnisse können Sie sich von der Masse abheben..
3. Bessere Marktfähigkeit. Personalverantwortliche entscheiden sich häufig für Kandidaten, die ihr Fachwissen und ihre Fähigkeiten mit einer Zertifizierung nachweisen können..


4. Bessere Aufstiegschancen. In der schnellen, dynamischen Welt von heute lohnt es sich, etwas für das berufliche Weiterkommen zu tun. Angesichts des Fachkräftemangels in vielen Branchen haben Sie mit einer Microsoft MS-720 Zertifizierung mehr Kontrolle über Ihren eigenen Werdegang und damit bessere Aufstiegschancen.
5. Auf dem Laufenden und im Gespräch bleiben. Mit einer aktuellen Microsoft MS-720 Zertifizierung in Ihrer Branche zeigen Sie Initiative und sind anderen um einen wichtigen Schritt voraus.

Wir <it-pruefungen.de> bieten Übungsexamen zur Vorbereitung auf Ihre IT-Zertifizierungs-prüfung. Die Prüfungsfragen zur Prüfungsvorbereitung auf Microsoft Microsoft 365 Prüfung MS-720 deutsch（Microsoft Teams Voice Engineer ）bei it-pruefungen sind aktuell und original.

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2023 Latest Braindump2go MB-500 PDF Dumps(Q107-Q141)
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D.A service company needs workers to be able to access just-in-time inventory data from the field by using a third-party Software as a Service (SaaS) application to ensure they have parts to complete a service. Answer: C QUESTION 114 Drag and Drop Question You need to map the Dynamics 365 Finance components into the standard models. Which component belongs to which model? To answer, drag the appropriate models to the correct components. Each model may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point. Answer: QUESTION 115 Hotspot Question You are a Dynamics 365 Finance developer. You have the following entities. You must create the required fields and relationships in the staging tables. You need to develop a composite entity that uses the OrderHeader and OrderLine entities. Which object should you use for each action? 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You are adding a new field to the SalesTable form. You must use an extension to add a status field onto the form. You need to create the extension in the Application Object Tree (AOT) and add the extension to the demoExtensions model. Solution: Navigate to the Visual Studio user interface forms extensions section for the SalesTable form and create an extension. Does the solution meet the goal? A.Yes B.No Answer: B QUESTION 119 You are a Dynamics 365 Finance developer. You need to create an extension class. Which action should you perform? A.Decorate the class with the ExtensionOf attribute. B.Add the class buffer as the first parameter. C.Mark the class as public. D.Mark the class as private. Answer: A QUESTION 120 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. 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You need to ensure that the console application interacts with Dynamics 365 Finance OData services. Which the actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. Answer: QUESTION 132 Hotspot Question A company is implementing Dynamics 365 Finance. Vendors receive a risk rating that is determined by their on-time delivery performance as well as their credit rating. You need to implement the following risk rating functionality: The risk rating must accompany the credit rating when the credit rating is used. The risk rating must be able to be used in other areas of the solution to determine processing outcomes. The risk rating must consist of the following values: 1 = Good 2 = Medium 3 = Risky The risk rating must be displayed in the Miscellaneous Details tab below the Credit Rating and Credit Limit fields in the Vendor form. What should you do? 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How to Transfer Data from Android to iPhone (2 Free Ways)
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2023 Latest Braindump2go DP-300 PDF Dumps(Q109-Q140)
QUESTION 109 You are designing a security model for an Azure Synapse Analytics dedicated SQL pool that will support multiple companies. You need to ensure that users from each company can view only the data of their respective company. Which two objects should you include in the solution? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point. A.a column encryption key B.asymmetric keys C.a function D.a custom role-based access control (RBAC) role E.a security policy Answer: CE QUESTION 110 You have an Azure subscription that contains an Azure Data Factory version 2 (V2) data factory named df1. DF1 contains a linked service. You have an Azure Key vault named vault1 that contains an encryption kay named key1. You need to encrypt df1 by using key1. What should you do first? A.Disable purge protection on vault1. B.Remove the linked service from df1. C.Create a self-hosted integration runtime. D.Disable soft delete on vault1. Answer: B QUESTION 111 A company plans to use Apache Spark analytics to analyze intrusion detection data. You need to recommend a solution to analyze network and system activity data for malicious activities and policy violations. The solution must minimize administrative efforts. What should you recommend? A.Azure Data Lake Storage B.Azure Databricks C.Azure HDInsight D.Azure Data Factory Answer: B QUESTION 112 You have an Azure data solution that contains an enterprise data warehouse in Azure Synapse Analytics named DW1. Several users execute adhoc queries to DW1 concurrently. You regularly perform automated data loads to DW1. You need to ensure that the automated data loads have enough memory available to complete quickly and successfully when the adhoc queries run. What should you do? A.Assign a smaller resource class to the automated data load queries. B.Create sampled statistics to every column in each table of DW1. C.Assign a larger resource class to the automated data load queries. D.Hash distribute the large fact tables in DW1 before performing the automated data loads. Answer: C QUESTION 113 You are monitoring an Azure Stream Analytics job. You discover that the Backlogged input Events metric is increasing slowly and is consistently non-zero. You need to ensure that the job can handle all the events. What should you do? A.Remove any named consumer groups from the connection and use $default. B.Change the compatibility level of the Stream Analytics job. C.Create an additional output stream for the existing input stream. D.Increase the number of streaming units (SUs). Answer: D QUESTION 114 You have an Azure Stream Analytics job. You need to ensure that the job has enough streaming units provisioned. You configure monitoring of the SU % Utilization metric. Which two additional metrics should you monitor? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point. A.Late Input Events B.Out of order Events C.Backlogged Input Events D.Watermark Delay E.Function Events Answer: CD QUESTION 115 You have an Azure Databricks resource. You need to log actions that relate to changes in compute for the Databricks resource. Which Databricks services should you log? A.clusters B.jobs C.DBFS D.SSH E.workspace Answer: A QUESTION 116 Your company uses Azure Stream Analytics to monitor devices. The company plans to double the number of devices that are monitored. You need to monitor a Stream Analytics job to ensure that there are enough processing resources to handle the additional load. Which metric should you monitor? A.Input Deserialization Errors B.Late Input Events C.Early Input Events D.Watermark delay Answer: D QUESTION 117 You manage an enterprise data warehouse in Azure Synapse Analytics. Users report slow performance when they run commonly used queries. 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NOTE: Each correct selection is worth one point. A.Create a date dimension table that has a DateTime key. B.Create a date dimension table that has an integer key in the format of YYYYMMDD. C.Use built-in SQL functions to extract date attributes. D.Use integer columns for the date fields. E.Use DateTime columns for the date fields. Answer: BD QUESTION 122 You have an Azure Data Factory pipeline that is triggered hourly. The pipeline has had 100% success for the past seven days. The pipeline execution fails, and two retries that occur 15 minutes apart also fail. The third failure returns the following error. What is a possible cause of the error? A.From 06:00 to 07:00 on January 10, 2021, there was no data in wwi/BIKES/CARBON. B.The parameter used to generate year=2021/month=01/day=10/hour=06 was incorrect. C.From 06:00 to 07:00 on January 10, 2021, the file format of data in wwi/BIKES/CARBON was incorrect. D.The pipeline was triggered too early. 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D.Create a parent pipeline that contains the four pipelines and use a schedule trigger. Answer: D QUESTION 125 You have an Azure Data Factory pipeline that performs an incremental load of source data to an Azure Data Lake Storage Gen2 account. Data to be loaded is identified by a column named LastUpdatedDate in the source table. You plan to execute the pipeline every four hours. You need to ensure that the pipeline execution meets the following requirements: - Automatically retries the execution when the pipeline run fails due to concurrency or throttling limits. - Supports backfilling existing data in the table. Which type of trigger should you use? A.tumbling window B.on-demand C.event D.schedule Answer: A QUESTION 126 You have an Azure Data Factory that contains 10 pipelines. You need to label each pipeline with its main purpose of either ingest, transform, or load. The labels must be available for grouping and filtering when using the monitoring experience in Data Factory. 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Solution: You use an Azure Data Factory schedule trigger to execute a pipeline that executes mapping data flow, and then inserts the data into the data warehouse. Does this meet the goal? A.Yes B.No Answer: B QUESTION 128 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 Data Lake Storage account that contains a staging zone. You need to design a daily process to ingest incremental data from the staging zone, transform the data by executing an R script, and then insert the transformed data into a data warehouse in Azure Synapse Analytics. 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Solution: You use an Azure Data Factory schedule trigger to execute a pipeline that executes an Azure Databricks notebook, and then inserts the data into the data warehouse. Does this meet the goal? A.Yes B.No Answer: A QUESTION 130 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 Data Lake Storage account that contains a staging zone. You need to design a daily process to ingest incremental data from the staging zone, transform the data by executing an R script, and then insert the transformed data into a data warehouse in Azure Synapse Analytics. Solution: You use an Azure Data Factory schedule trigger to execute a pipeline that copies the data to a staging table in the data warehouse, and then uses a stored procedure to execute the R script. Does this meet the goal? A.Yes B.No Answer: B QUESTION 131 You plan to perform batch processing in Azure Databricks once daily. Which type of Databricks cluster should you use? A.automated B.interactive C.High Concurrency Answer: A QUESTION 132 Hotspot Question You have an Azure Synapse Analytics dedicated SQL pool named Pool1 and an Azure Data Lake Storage Gen2 account named Account1. You plan to access the files in Account1 by using an external table. You need to create a data source in Pool1 that you can reference when you create the external table. How should you complete the Transact-SQL statement? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. Answer: QUESTION 133 Hotspot Question You plan to develop a dataset named Purchases by using Azure Databricks. Purchases will contain the following columns: - ProductID - ItemPrice - LineTotal - Quantity - StoreID - Minute - Month - Hour - Year - Day You need to store the data to support hourly incremental load pipelines that will vary for each StoreID. The solution must minimize storage costs. How should you complete the code? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. Answer: QUESTION 134 Hotspot Question You are building a database in an Azure Synapse Analytics serverless SQL pool. You have data stored in Parquet files in an Azure Data Lake Storage Gen2 container. Records are structured as shown in the following sample. The records contain two ap plicants at most. You need to build a table that includes only the address fields. How should you complete the Transact-SQL statement? 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독서의 달 맞이, 책 싫어하는 이가 방문해도 좋을 추천 감성 책방
Editor Comment 가을 하면 떠오르는 단어는 ‘독서’. 무더웠던 날씨가 한풀 꺾이면서 바야흐로 책 읽기 좋은 계절이 왔다. 선선한 날씨와 함께 푸르른 하늘을 바라보면 책 읽기 싫어하는 이들도 자연스레 손이 가기 마련. 9월 ‘독서의 달’을 맞이해 <아이즈매거진>이 전국 곳곳의 마음을 사로잡을 감성 책방들을 모아봤다. 일년이 저물어가는 가을, 낙엽 물드는 창가에 앉아 평소 관심 있던 책을 읽으며 취향 맞는 이들과 함께 여유를 만끽해보는 것은 어떨까. 도서관 책 한 권의 여유라는 말이 딱 들어맞는 심야 서점 ‘책바’는 술과 함께 책을 볼 수 있는 이색 공간이다. 센스 있는 메뉴판과 책속에서 나왔던 칵테일들을 제조하여 판매하는 매장은 책과 더욱 교감할 수 있는 정서적인 안정감을 제공하는 것이 특징. 공간 특성상 3인 이상부터는 입장에 제한이 되거나, 따로 앉아야 할 수도 있으니 혼자 혹은 2인이 가는 것을 추천한다. 결코 적지 않은 수의 서적들이 배치되어 있으니, 지친 하루의 끝에 무드 있게 책을 보고 싶다면 이만한 곳이 없을 터. 책바 주소 ㅣ 서울 서대문구 연희동 188-71 1층 101호 영업시간 ㅣ화 – 토요일 19:00 – 1:30 ‘기존의 것을 다르게 재해석한다’는 철학으로 잊혀진 아날로그의 감성과 영감을 자극하는 라이브러리가 있다. 서울 북촌에 위치한 ‘현대카드 디자인 라이브러리’는 도시의 빠른 속도에서 벗어나 일상을 사유하는 새로운 라이프 스타일을 제안한다. 현대미술, 디자이너북, 시각 디자인, 건축공간 디자인 등 순수 예술에서 상업 예술까지 디자인의 과거와 현재, 미래를 담고 있다. 특히 국내에서 찾기 힘든 가치 높은 희귀 도서들이 많다는 것도 눈여겨볼 점. 1층 ‘Rare Book Collection’ 에서 희귀본을 직접 보고, 읽고, 영감을 받는 기회를 놓치지 말자. 매 월 소개하는 레어 컬렉션이 다르니 현대카드 라이브러리 웹 사이트(library.hyundaicard.com)에서 확인 후 방문하는 것을 추천한다. 현대카드 DESIGN LIBRARY 주소 ㅣ 서울 종로구 북촌로 31-18 영업시간 ㅣ화 – 토요일 12:00 – 21:00 / 일요일 및 공휴일 12:00 – 18:00 파주 출판 단지 내에 위치한 ‘지혜의 숲’은 가치 있는 책을 보존, 보호하고 관리하며 함께 보는 공동 서재다. 크게 세 개의 관으로 구성된 이곳은 학자 및 지식인, 연구소에서 기증한 도서를 소장한 1관과 우리나라 출판의 역사를 살펴볼 수 있는 2관, 유통사와 박물관, 미술관에서 기증한 도서와 게스트하우스 ‘지지향’의 로비로 이루어져 있는 3관으로 나눠져 있다. 책과의 교감을 가장 중요시하는 ‘지혜의 숲’은 독자에게 가장 최적화된 독서 환경을 조성하고자 하는 복합문화공간. 지혜의 숲 주소 ㅣ 경기 파주시 회동길 145 영업시간 ㅣ평일 10:00 – 20:00 책을 읽고 싶게 만드는 감각적인 인테리어가 인상적인 이곳은 명동 ‘씨네라이브러리’다. 해외의 도서관을 떠올리게 만드는 계단식 구조와 높은 천장이 매력적인 곳. 벽을 한가득 채운 수많은 서적은 평소 책을 즐겨하지 않더라도 독서 욕구를 불러일으키기에 충분하다. 마음에 드는 책이 높은 곳에 있다면, 고소 공포증을 이겨내고 사다리를 타고 올라가 보자. 지식과 함께 성취욕까지 가져갈 수 있는 특별한 재미를 더해줄 테니. CGV 명동 씨네라이브러리 주소 ㅣ 서울 중구 충무로2가 65-9 하이해리엇 10층 영업시간 ㅣ 평일 13:00 – 21:00 / 주말 11:0 0 – 21:00 네이버 사옥 로비에 위치한 ‘네이버 라이브러리’는 ‘도서관은 정숙해야만 한다’는 편견을 깨고자 나타난 공간이다. 딱딱한 무드의 도서 문화를 탈피하고자 네이버의 메인 컬러인 그린을 포인트로 하고 책과 커피, 대화가 함께할 수 있는 장소를 연출했다. 세계 3대 디자인 어워드에서도 수상한 인테리어로 꼭 독서 목적이 아니더라도 들러볼 만한 곳. 한국의 포털 사이트를 대표하고 있는 기업답게 국내외 잡지 270여 종, 디자인 장서 17000여 권, 전 세계 전문 백과사전 2500여 권을 소유하고 있으며 개인이 구매하기 부담스러운 고가 희귀 장서, 잘 알려지지 않은 희소가치 있는 책들도 구비하고 있다.  네이버 라이브러리 주소 ㅣ 경기 성남시 분당구 정자동 불정로 6 NAVER 그린팩토리 1층 영업시간 ㅣ 평일 09:00 – 19:30 / 주말 10:00 – 19:30 서점 프랑스 파리 마레 지구에 위치한 감성을 파는 서점 ‘Ofr.’. 전 세계 관광객들의 명소가 된 매장이 ‘Ofr.Seoul’이라는 이름으로 서울 성수동에 상륙했다. 작고 아담하지만 누구나 쉽게 책을 볼 수 있어 파리의 분위기를 잃지 않는 성수 안의 파리. 정기적으로 파리에서 보내는 책들로 가득한 공간은 국내에서 찾아볼 수 없던 예술 서적과 독립 출판물들이 준비되어 있다. 또한 함께 운영하는 편집숍 ‘미라벨(mirabelle)’도 주목할 점. 다양한 의류, 에코백, 소품, 액세서리류 등 감각적인 소품들도 만나볼 수 있어 더 이상 번거로운 구매 대행 없이 쉽게 구매 가능하다. 참고로 공식 인스타그램 @Ofrseoul을 통해 제품 입고 소식이 업데이트되니 서둘러 확인해보자. Ofr. Seoul 주소 ㅣ 서울 성동구 서울숲2길 19-18 2층 영업시간 ㅣ 수 – 일요일 13:00 – 19:00 식물과 유럽 빈티지 가구들로 꾸며져 편안하고 조용한 분위기의 평창동 책방 ‘북커스’. 개성 있는 컨셉의 외국 잡지는 물론 실생활적인 주제들의 책도 많이 취급하는 이곳에는 특별한 비밀이 숨겨져 있다. 바로 몇몇 서적에는 주인의 손글씨 코멘트가 붙어 있어 책을 고르는 재미를 느낄 수 있는 것. 또한 책뿐만 아니라 한켠에 마련된 다양한 소품 잡화를 판매하는 공간과 더불어 여유로운 클래식 노래가 흘러나오는 카페도 갖춰져 있다. 서점 주인의 취향이 고스란히 깃든 ‘북커스’, 한 번 방문하면 오래오래 머무르고 싶은 그런 곳이다. 북커스 주소 ㅣ 서울 종로구 평창 30길 10 영업시간 ㅣ 평일 11:00 – 21:00  / 월요일 휴무 한적한 단양 숲속에 위치한 ‘새한서점’은 영화 <내부자들> 촬영지로 유명해진 장소다. 모든 것이 정지된 듯 오래된 느낌을 주는 서점에는 보관하고 있는 책들만 무려 13만 권. 책방을 가득 채우는 세월이 담긴 가치 있는 헌책과 곳곳에 붙어 있는 의미 있는 글귀들. 특히나 전문서적과 원서 논문 자료를 많이 취급하며, 소장 가치 있는 기념품들과 문구류들도 판매해 눈길을 끈다. 산속에 작지만 오랜 시간을 담고 있는 ‘새한서점’은 책과 오직 나에게만 집중할 수 있는 특별한 문화공간이다. 새한서점 주소 ㅣ 충북 단양군 적성면 현곡본길 46-106 영업시간 ㅣ 평일 09:00 – 19:00 / 연중무휴 동굴 서점으로 유명한 을지로의 ‘아크앤북’. 서점과 라이프스타일샵이 결합된 이곳은 책을 매개로 다양한 문화를 즐기는 ‘리딩테인먼트’를 지향한다. 도심 속 휴식공간인 듯 일반적인 서점과 달리 흔히 접하기 힘든 해외 작가의 아카이브북 및 사진집과 해외 잡지들이 다량 구비되어 있는 점이 특징. 감성과 지성 모두를 아우르는 ‘아크앤북’의 지향점과 맞게 다양한 예술 관련 서적이 눈길을 끈다. 아크앤북 주소 ㅣ 서울 중구 을지로 29 B1F 영업시간 ㅣ 평일 10:00 – 22:00 무수히 많은 책 사이에서 결정 장애를 앓고 있는 이들에게 추천하는 장소가 있다. 바로 성북동에 위치한 읽고 추천하는 큐레이션 서점 ‘부쿠’. SNS에서 ‘책 읽어주는 남자’로 100만 구독자와 소통하는 큐레이터와 책을 좋아하는 사람들이 모여 만든 이곳은 1만 여 권의 추천 도서 뿐 아니라 MD 제품, 드라이 플라워 등을 함께 만나볼 수 있는 북카페다. 책이 전시되어 있는 곳곳에는 손 글씨로 책에 대한 코멘트나 인상깊은 구절 등이 적혀있어 굳이 읽어보지 않아도 취향에 맞게 책을 고를 수 있는 점이 포인트. 그럼에도 책을 선택하는 것이 어렵다면 책의 제목도 표지도 알 수 없게 포장되어 있는 ‘비밀의 책’을 구매해보자. 마치 자신에게 선물을 주는 색다른 기분을 선사해 줄 것이다.   부쿠 주소 ㅣ 서울 성북구 성북로 167 영업시간 ㅣ 평일 10:30 – 21:00 연희동의 한 일반주택을 개조해 여러 상점으로 공간을 구성해놓은 이곳 2층에는 독립 서적을 판매하는 ‘유어마인드’가 있다. 이미 1세대 독립서점으로 익히 알려진 책방. 일반 서점에서는 느낄 수 없는 자유분방한 양식을 가진 서적들이 구비되어 있으며, 독특한 사진집과 귀여운 일러스트가 그려진 책들이 특히나 많이 즐비해있다. 단순히 책을 사고 판매하는 공간이 아닌, 의자에 앉아 독립 작가들의 짙은 감성이 담겨있는 사진집과 책을 감상해보는 것은 어떨까. 유어마인드 주소 ㅣ 서울 서대문구 연희로11라길 10-6 2층 영업시간 ㅣ 평일 13:00 – 20:00 / 화요일 휴무 디자인 및 예술 서적들로 가득한 ‘포스트 포에틱스’. 미술, 건축, 디자인, 사진, 패션 등 예술 전반의 출판물을 다루는 서점은 전 세계 크고 작은 출판사 200여 곳과 거래하며 출판물을 수입, 유통, 판매한다. 눈에 띄는 점은 철제 선반에 차곡차곡 쌓여있는 이곳만의 독특한 진열 방식. 마치 옷을 개어 넣은 듯 책보다는 자연스레 표지에 시선이 가는 구조는 마치 하나의 예술 작품을 보는 것 같다. 각 선반마다 다양한 해외 출판사의 특징이 적혀 있으며, 책뿐만 아니라 에코백, 디자인 소품들도 함께 판매하는 매력적인 공간. 평소 접하기 어려운 해외 서적들을 만나고 싶다면 주저 없이 방문해보자. 포스트 포에틱스 주소 ㅣ 서울 용산구 이태원로 240, 1층 영업시간 ㅣ평일 13:00 – 20:00 / 일요일, 마지막 주 월요일 휴무 경복궁역 한 자락에 위치한 ‘더 북 소사이어티’. 세모 모양의 로고와 두꺼운 초록문이 인상적인 이곳은 서점이자 출판, 큐레이팅 등 다양한 프로젝트 스페이스로 디자이너와 예술가들의 영감 보물섬이다. 국내외 시각 예술 분야의 독립, 아트북 출판 서적을 이곳만의 취향으로 엄중히 골라 채워 넣은 곳. 심지어 바코드를 볼 수 없는 책과 DVD 등이 숨겨져 있어 보물찾기를 하는 기분이 들기도 한다. 스터디 프로그램과 디자이너 토크 등 다채로운 행사를 개최하는 만큼 국내외 아티스트들이 아지트처럼 찾는 공간. 더 북 소사이어티 주소 ㅣ 서울 종로구 자하문로10길 22 2층 영업시간 ㅣ 평일 13:00 – 19:00  / 월요일 휴무 by eyesmag supporters  강지민 / 김건호 / 김민성 / 김보미 박한준 / 배명현 / 이영준 / 정예진 더 자세한 내용은 <아이즈매거진> 링크에서
Video Analytics in Manufacturing Industry: Benefits, Challenges, and Future Trends
The manufacturing industry is increasingly turning to technology for improving productivity, efficiency, and safety. Video analytics is a technology that has been adopted by the manufacturing industry to improve safety, efficiency, and productivity. Video analytics uses machine learning algorithms to analyze video data and extract insights. In this blog post, we will discuss video analytics in the manufacturing industry, its benefits, and applications. What is Video Analytics? Video analytics is a technology that uses machine learning algorithms to analyze video data and extract insights. Video analytics software uses artificial intelligence and machine learning algorithms to detect, recognize, and track objects and events in video footage. The technology can be used for various applications, including security, surveillance, retail, marketing, and manufacturing. Video Analytics in Manufacturing Industry Video analytics has become an integral part of the manufacturing industry. Video analytics software can be used to monitor equipment, processes, and people in manufacturing plants. The software can detect and alert plant operators to any anomalies or issues, improving efficiency and reducing downtime. One of the key applications of video analytics in manufacturing industry is quality control. Video analytics software can analyze video data from production lines and identify defects or inconsistencies in products. This allows manufacturers to identify issues early in the production process, reducing waste and increasing product quality. Another application of manufacturing video surveillance is safety monitoring. The software can monitor workers in the plant and identify any safety hazards, such as workers not wearing personal protective equipment or entering hazardous areas. The software can also detect equipment malfunctions or failures, reducing the risk of accidents and injuries. Video analytics software can also be used to monitor the supply chain. The software can track inventory levels, monitor logistics, and provide real-time insights into the supply chain. This can help manufacturers optimize their supply chain, reduce costs, and improve efficiency. Benefits of Video Analytics in Manufacturing Industry Despite the challenges associated with implementing video analytics in the manufacturing industry, there are numerous benefits that justify its use. Here are some of the benefits of using video analytics in the manufacturing industry: Improved Safety - One of the primary benefits of using video analytics in manufacturing is improved safety. Video analytics software can help identify potential hazards and alert workers of impending danger in real-time. Additionally, video analytics can also help identify unsafe worker behavior and provide corrective actions to improve safety. Increased Efficiency - Video analytics can help manufacturers identify inefficiencies in their production process and provide recommendations for improvement. By analyzing video footage, manufacturers can identify bottlenecks, optimize workflows, and reduce waste. This can lead to increased productivity and profitability. Enhanced Quality Control - Video analytics can also help manufacturers ensure product quality by identifying defects and inconsistencies in real-time. By analyzing video footage, manufacturers can detect defects earlier in the production process, reducing the need for costly rework and ensuring that only high-quality products are shipped to customers. Reduced Downtime - By detecting potential issues early, video analytics can help reduce downtime in the manufacturing process. This can lead to improved productivity and profitability. Applications of Video Analytics in Manufacturing Industry Video analytics has several applications in the manufacturing industry. Some of these applications include: Quality Control: Video analytics can be used to detect defects and inconsistencies in products early in the production process. Safety Monitoring: Video analytics solution can monitor workers and equipment, reducing the risk of accidents and injuries. Inventory Management: Video analytics can track inventory levels and monitor logistics, providing real-time insights into the supply chain. Equipment Maintenance: Video analytics can detect equipment malfunctions or failures, allowing manufacturers to perform maintenance before equipment breaks down. Process Optimization: Video analytics can identify inefficiencies in manufacturing processes, allowing manufacturers to optimize their production lines and improve efficiency. Challenges of Video Analytics in Manufacturing Industry Video analytics in the manufacturing industry can present a lot of challenges. Here are some of the most common challenges that need to be addressed: Integration with legacy systems: One of the biggest challenges is integrating video analytics with the existing legacy systems in the manufacturing industry. This is because most of the systems are not designed to work with video analytics. There may be issues related to compatibility, which can make the implementation of video analytics a complicated process. Data quality: Another challenge is ensuring the quality of data. It is important to ensure that the data collected through video analytics is accurate and reliable. This can be a challenge as the data is often incomplete or inaccurate. Therefore, it is important to have proper data cleaning and data normalization processes in place. Scalability: Implementing video analytics in a small setting is relatively easy, but it becomes more challenging when the system needs to be scaled up to accommodate larger manufacturing plants. The system needs to be scalable to accommodate the additional data and the increased number of cameras that will be required. Real-time analytics: In the manufacturing industry, real-time data is essential for making critical decisions. However, analyzing video data in real-time can be challenging. The analytics system needs to be capable of processing the data quickly and efficiently to provide real-time insights. Privacy and security: Video analytics systems involve capturing video data, which can be a potential threat to privacy and security. Therefore, it is important to ensure that the video analytics system is secure, and the data is encrypted. Cost: Implementing a video analytics system can be expensive, especially for small and medium-sized manufacturing companies. The cost of cameras, hardware, and software can add up quickly. Human intervention: Video analytics systems can generate a lot of false alarms, which can be frustrating for operators. This can lead to human intervention, which defeats the purpose of having an automated system in place. Training and skills: Implementing video analytics requires specialized skills, including knowledge of computer vision, machine learning, and deep learning. This can be a challenge for manufacturing companies that do not have the required skills in-house. These are some of the challenges that need to be addressed when implementing video analytics in the manufacturing industry. However, with the right planning and resources, these challenges can be overcome. Future of Video Analytics in Manufacturing Industry The future of video analytics in the manufacturing industry is bright. As technology continues to advance, video analytics will become even more sophisticated, making it easier for manufacturers to analyze data and make informed decisions. Some of the trends that are expected to shape the future of video analytics in manufacturing include: 1. Artificial Intelligence - Artificial intelligence (AI) will play a critical role in the future of video analytics in manufacturing. By incorporating AI algorithms into video analytics software, manufacturers can automate data analysis and make more accurate predictions about the future. This can help manufacturers optimize their production processes, reduce waste, and increase profitability. 2. Edge Computing - Edge computing is another trend that is expected to shape the future of video analytics in manufacturing. Edge computing involves processing data at the edge of the network, rather than in a centralized location. By using edge computing, manufacturers can reduce latency and improve real-time data processing. 3 5G Networks - 5G networks are also expected to play a critical role in the future of video analytics in manufacturing. With 5G networks, manufacturers can transmit large amounts of data quickly and reliably, enabling real-time video analytics and decision-making. Conclusion In conclusion, video analytics is an emerging technology that has the potential to transform the manufacturing industry. By leveraging the power of video data, manufacturers can improve safety, increase efficiency, enhance quality control, and reduce downtime. However, there are also challenges associated with implementing video analytics, including data privacy concerns and the need for significant investments in technology and infrastructure. As technology continues to advance, the future of video analytics in manufacturing looks bright, with trends such as artificial intelligence, edge computing, and 5G networks expected to play a critical role in shaping its future. CronJ - a leading provider of video analytics solutions for the manufacturing industry can help you in manufacturing video surveillance. References: https://www.sciencedirect.com/science/article/pii/S2405452620304637